-
1
-
-
84959358917
-
Big data research in information systems: toward an inclusive research agenda
-
Abbasi, A., Sarker, S., Chiang, R.H., Big data research in information systems: toward an inclusive research agenda. Journal of the Association for Information Systems 17:2 (2016), 1–33.
-
(2016)
Journal of the Association for Information Systems
, vol.17
, Issue.2
, pp. 1-33
-
-
Abbasi, A.1
Sarker, S.2
Chiang, R.H.3
-
2
-
-
85048632030
-
-
Digital Library. Accessed 30 Dec 2017.
-
ACM, Digital Library. http://www.acm.org/dl/ Accessed 30 Dec 2017.
-
-
-
ACM1
-
3
-
-
85000765414
-
Big data applications in operations/supply-chain management: A literature review
-
Addo-Tenkorang, R., Helo, P.T., Big data applications in operations/supply-chain management: A literature review. Computers & Industrial Engineering 101 (2016), 528–543.
-
(2016)
Computers & Industrial Engineering
, vol.101
, pp. 528-543
-
-
Addo-Tenkorang, R.1
Helo, P.T.2
-
4
-
-
84941145658
-
Neural network techniques for cancer prediction: a survey
-
Agrawal, S., Agrawal, J., Neural network techniques for cancer prediction: a survey. Procedia Computer Science 60 (2015), 769–774.
-
(2015)
Procedia Computer Science
, vol.60
, pp. 769-774
-
-
Agrawal, S.1
Agrawal, J.2
-
5
-
-
85021831334
-
The role of big data analytics in Internet of Things
-
Ahmed, E., Yaqoob, I., Hashem, I.A.T., Khan, I., Ahmed, A.I.A., Imran, M., et al. The role of big data analytics in Internet of Things. Computer Networks 129 (2017), 459–471.
-
(2017)
Computer Networks
, vol.129
, pp. 459-471
-
-
Ahmed, E.1
Yaqoob, I.2
Hashem, I.A.T.3
Khan, I.4
Ahmed, A.I.A.5
Imran, M.6
-
6
-
-
54249110594
-
Mixed membership stochastic blockmodels
-
Airoldi, E.M., Blei, D.M., Fienberg, S.E., Xing, E.P., Mixed membership stochastic blockmodels. Journal of Machine Learning Research 9 (2008), 1981–2014.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1981-2014
-
-
Airoldi, E.M.1
Blei, D.M.2
Fienberg, S.E.3
Xing, E.P.4
-
7
-
-
84948765779
-
Applications of big data to smart cities
-
Al Nuaimi, E., Al Neyadi, H., Mohamed, N., Al-Jaroodi, J., Applications of big data to smart cities. Journal of Internet Services and Applications, 6(1), 2015, 25.
-
(2015)
Journal of Internet Services and Applications
, vol.6
, Issue.1
, pp. 25
-
-
Al Nuaimi, E.1
Al Neyadi, H.2
Mohamed, N.3
Al-Jaroodi, J.4
-
8
-
-
84911166843
-
Detecting deception in online social networks
-
Alowibdi, J.S., Buy, U.A., Philip, S.Y., Stenneth, L., Detecting deception in online social networks. Proceedings of IEEE/ACM international conference in advances in social networks analysis and mining (ASONAM), 2014, 383–390.
-
(2014)
Proceedings of IEEE/ACM international conference in advances in social networks analysis and mining (ASONAM)
, pp. 383-390
-
-
Alowibdi, J.S.1
Buy, U.A.2
Philip, S.Y.3
Stenneth, L.4
-
9
-
-
84971373627
-
Mobile big data analytics using deep learning and apache spark
-
Alsheikh, M.A., Niyato, D., Lin, S., Tan, H.P., Han, Z., Mobile big data analytics using deep learning and apache spark. IEEE Network 30:3 (2016), 22–29.
-
(2016)
IEEE Network
, vol.30
, Issue.3
, pp. 22-29
-
-
Alsheikh, M.A.1
Niyato, D.2
Lin, S.3
Tan, H.P.4
Han, Z.5
-
10
-
-
84875823484
-
Image super-resolution by extreme learning machine
-
IEEE
-
An, L., Bhanu, B., Image super-resolution by extreme learning machine. Proceedings of the 19th IEEE international conference on image processing, 2012, IEEE, 2209–2212.
-
(2012)
Proceedings of the 19th IEEE international conference on image processing
, pp. 2209-2212
-
-
An, L.1
Bhanu, B.2
-
11
-
-
84937439828
-
A survey of big data analytics in healthcare and government
-
Archenaa, J., Anita, E.M., A survey of big data analytics in healthcare and government. Procedia Computer Science 50 (2015), 408–413.
-
(2015)
Procedia Computer Science
, vol.50
, pp. 408-413
-
-
Archenaa, J.1
Anita, E.M.2
-
12
-
-
84959299558
-
Principles of marketing
-
Pearson Australia
-
Armstrong, G., Adam, S., Denize, S., Kotler, P., Principles of marketing. 2014, Pearson, Australia.
-
(2014)
-
-
Armstrong, G.1
Adam, S.2
Denize, S.3
Kotler, P.4
-
13
-
-
34548269664
-
Eligibility procedures and accreditation standards for accounting accreditation
-
AACSB Tampa, FL Accessed 12 Nov 2016
-
Association to Advance Collegiate Schools of Business International (AACSB). Eligibility procedures and accreditation standards for accounting accreditation. 2013, AACSB, Tampa, FL http://www.aacsb.edu/accreditation/standards/2013-business Accessed 12 Nov 2016.
-
(2013)
-
-
-
14
-
-
84930936490
-
Big data computing and clouds: Trends and future directions
-
Assuncao, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A., Buyya, R., Big data computing and clouds: Trends and future directions. Journal of Parallel and Distributed Computing 79 (2015), 3–15.
-
(2015)
Journal of Parallel and Distributed Computing
, vol.79
, pp. 3-15
-
-
Assuncao, M.D.1
Calheiros, R.N.2
Bianchi, S.3
Netto, M.A.4
Buyya, R.5
-
15
-
-
78649842272
-
Predicting the future with social media
-
IEEE
-
Asur, S., Huberman, B.A., Predicting the future with social media. Proceedings of the international conference on IEEE/WIC/ACM web intelligence and intelligent agent technology (WI-IAT), 1, 2010, IEEE, 492–499.
-
(2010)
Proceedings of the international conference on IEEE/WIC/ACM web intelligence and intelligent agent technology (WI-IAT)
, vol.1
, pp. 492-499
-
-
Asur, S.1
Huberman, B.A.2
-
16
-
-
85048627709
-
-
Apache Spark. Accessed 20 Dec 2017.
-
Apache Spark, 2014. https://spark.apache.org/ Accessed 20 Dec 2017.
-
(2014)
-
-
-
17
-
-
85048603114
-
-
Apache SparkR. Accessed 20 Dec 2017.
-
Apache SparkR. https://docs.databricks.com/spark/latest/sparkr/overview.html/ Accessed 20 Dec 2017.
-
-
-
-
18
-
-
85048624503
-
-
Apache MapReduce. Accessed 20 Dec 2017.
-
Apache MapReduce, 2008. https://hadoop.apache.org/docs/r1.2.1/mapred_tutorial.html/ Accessed 20 Dec 2017.
-
(2008)
-
-
-
19
-
-
85048642671
-
-
Apache Mahout. Accessed 20 Dec 2017.
-
Apache Mahout, 2011. https://mahout.apache.org/ Accessed 20 Dec 2017.
-
(2011)
-
-
-
20
-
-
85048613381
-
-
A. Accessed 20 Dec 2017.
-
Apache MOA, 2011. https://en.wikipedia.org/wiki/Massive_Online_Analysis/ Accessed 20 Dec 2017.
-
(2011)
-
-
Apache, M.O.1
-
21
-
-
85048609040
-
-
Apache Giraph. Accessed 20 Dec 2017.
-
Apache Giraph. http://giraph.apache.org/ Accessed 20 Dec 2017.
-
-
-
-
22
-
-
77954605151
-
The state of educational data mining in 2009: A review and future visions
-
Baker, R.S., Yacef, K., The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining 1:1 (2009), 3–17.
-
(2009)
Journal of Educational Data Mining
, vol.1
, Issue.1
, pp. 3-17
-
-
Baker, R.S.1
Yacef, K.2
-
23
-
-
70350575762
-
On the predictive ability of narrative disclosures in annual reports
-
Balakrishnan, R., Qiu, X.Y., Srinivasan, P., On the predictive ability of narrative disclosures in annual reports. European Journal of Operational Research 202:3 (2010), 789–801.
-
(2010)
European Journal of Operational Research
, vol.202
, Issue.3
, pp. 789-801
-
-
Balakrishnan, R.1
Qiu, X.Y.2
Srinivasan, P.3
-
24
-
-
84933517061
-
Video analytics in market research
-
Balkan, S., Kholod, T., Video analytics in market research. Information Systems Management 32:3 (2015), 192–199.
-
(2015)
Information Systems Management
, vol.32
, Issue.3
, pp. 192-199
-
-
Balkan, S.1
Kholod, T.2
-
25
-
-
84894546324
-
From data to actionable knowledge: Big data challenges in the web of things
-
Barnaghi, P., Sheth, A., Henson, C., From data to actionable knowledge: Big data challenges in the web of things. IEEE Intelligent Systems 28:6 (2013), 6–11.
-
(2013)
IEEE Intelligent Systems
, vol.28
, Issue.6
, pp. 6-11
-
-
Barnaghi, P.1
Sheth, A.2
Henson, C.3
-
26
-
-
85013642929
-
Towards an IoT Big Data Analytics Framework: Smart Buildings Systems
-
Bashir, M.R., Gill, A.Q., Towards an IoT Big Data Analytics Framework: Smart Buildings Systems. Proceedings of the IEEE 14th international conference on smart city; IEEE 2nd international conference on data science and systems (HPCC/SmartCity/DSS), 2016 IEEE 18th international conference on high performance computing and communications, 2016, 1325–1332.
-
(2016)
Proceedings of the IEEE 14th international conference on smart city; IEEE 2nd international conference on data science and systems (HPCC/SmartCity/DSS), 2016 IEEE 18th international conference on high performance computing and communications
, pp. 1325-1332
-
-
Bashir, M.R.1
Gill, A.Q.2
-
27
-
-
84939566731
-
Five pillars of prescriptive analytics success
-
Accessed 20 Dec 2017
-
Basu, A., Five pillars of prescriptive analytics success. Analytics magazine, 2013, 8–12 http://analytics-magazine.org/executive-edge-five-pillars-of-prescriptive-analytics-success/. Accessed 20 Dec 2017.
-
(2013)
Analytics magazine
, pp. 8-12
-
-
Basu, A.1
-
28
-
-
84947584456
-
Assessing the quality of service using big data analytics: With application to healthcare
-
Batarseh, F.A., Latif, E.A., Assessing the quality of service using big data analytics: With application to healthcare. Big Data Research 4 (2016), 13–24.
-
(2016)
Big Data Research
, vol.4
, pp. 13-24
-
-
Batarseh, F.A.1
Latif, E.A.2
-
30
-
-
84974691364
-
Big data in precision agriculture through ICT: Rainfall prediction using neural network approach
-
Springer
-
Bendre, M.R., Thool, R.C., Thool, V.R., Big data in precision agriculture through ICT: Rainfall prediction using neural network approach. Proceedings of the international congress on information and communication technology, 2016, Springer, 165–175.
-
(2016)
Proceedings of the international congress on information and communication technology
, pp. 165-175
-
-
Bendre, M.R.1
Thool, R.C.2
Thool, V.R.3
-
32
-
-
84901294435
-
Digitisation,‘Big Data'and the transformation of accounting information
-
Bhimani, A., Willcocks, L., Digitisation,‘Big Data'and the transformation of accounting information. Accounting and Business Research 44:4 (2014), 469–490.
-
(2014)
Accounting and Business Research
, vol.44
, Issue.4
, pp. 469-490
-
-
Bhimani, A.1
Willcocks, L.2
-
33
-
-
84978529080
-
Big Data in the construction industry: A review of present status, opportunities, and future trends
-
Bilal, M., Oyedele, L.O., Qadir, J., Munir, K., Ajayi, S.O., Akinade, O.O., et al. Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics 30:3 (2016), 500–521.
-
(2016)
Advanced Engineering Informatics
, vol.30
, Issue.3
, pp. 500-521
-
-
Bilal, M.1
Oyedele, L.O.2
Qadir, J.3
Munir, K.4
Ajayi, S.O.5
Akinade, O.O.6
-
34
-
-
85048597842
-
Big data analytics – this time it's personal
-
Accessed 14 April 2016
-
Bloor, R., Big data analytics – this time it's personal. The Bloor Group, 2011 https://www.1010data.com/media/1073/1010data_bloorgroup_whitepaper_big_data_analytics.pdf/ Accessed 14 April 2016.
-
(2011)
The Bloor Group
-
-
Bloor, R.1
-
35
-
-
84885958023
-
Big data platforms: What's next?
-
Borkar, V.R., Carey, M.J., Li, C., Big data platforms: What's next?. XRDS: Crossroads, The ACM Magazine for Students 19:1 (2012), 44–49.
-
(2012)
XRDS: Crossroads, The ACM Magazine for Students
, vol.19
, Issue.1
, pp. 44-49
-
-
Borkar, V.R.1
Carey, M.J.2
Li, C.3
-
36
-
-
33847286844
-
Lessons from applying the systematic literature review process within the software engineering domain
-
Brereton, P., Kitchenham, B.A., Budgen, D., Turner, M., Khalil, M., Lessons from applying the systematic literature review process within the software engineering domain. Journal of systems and software 80:4 (2007), 571–583.
-
(2007)
Journal of systems and software
, vol.80
, Issue.4
, pp. 571-583
-
-
Brereton, P.1
Kitchenham, B.A.2
Budgen, D.3
Turner, M.4
Khalil, M.5
-
37
-
-
84871651156
-
Reservoir computing and extreme learning machines for non-linear time-series data analysis
-
Butcher, J.B., Verstraeten, D., Schrauwen, B., Day, C.R., Haycock, P.W., Reservoir computing and extreme learning machines for non-linear time-series data analysis. Neural Networks 38 (2013), 76–89.
-
(2013)
Neural Networks
, vol.38
, pp. 76-89
-
-
Butcher, J.B.1
Verstraeten, D.2
Schrauwen, B.3
Day, C.R.4
Haycock, P.W.5
-
38
-
-
84988843483
-
Big Data: principles and paradigms
-
Morgan Kaufmann
-
Buyya, R., Calheiros, R.N., Dastjerdi, A.V., Big Data: principles and paradigms. 2016, Morgan Kaufmann.
-
(2016)
-
-
Buyya, R.1
Calheiros, R.N.2
Dastjerdi, A.V.3
-
39
-
-
84893477212
-
Storage-optimizing clustering algorithms for high-dimensional tick data
-
Buza, K., Nagy, G.I., Nanopoulos, A., Storage-optimizing clustering algorithms for high-dimensional tick data. Expert Systems with Applications 41:9 (2014), 4148–4157.
-
(2014)
Expert Systems with Applications
, vol.41
, Issue.9
, pp. 4148-4157
-
-
Buza, K.1
Nagy, G.I.2
Nanopoulos, A.3
-
40
-
-
84943558103
-
Big data analytics in financial statement audits
-
Cao, M., Chychyla, R., Stewart, T., Big data analytics in financial statement audits. Accounting Horizons 29:2 (2015), 423–429.
-
(2015)
Accounting Horizons
, vol.29
, Issue.2
, pp. 423-429
-
-
Cao, M.1
Chychyla, R.2
Stewart, T.3
-
41
-
-
84928142933
-
Emerging trends and technologies in big data processing
-
Casado, R., Younas, M., Emerging trends and technologies in big data processing. Concurrency and Computation: Practice and Experience 27:8 (2015), 2078–2091.
-
(2015)
Concurrency and Computation: Practice and Experience
, vol.27
, Issue.8
, pp. 2078-2091
-
-
Casado, R.1
Younas, M.2
-
42
-
-
33846982119
-
Effective web crawling
-
ACM Centro de Operações Rio Accessed 05 October 2016
-
Castillo, C., Effective web crawling. Acmsigir forum, 39, 2005, ACM, Centro de Operações Rio, 55–56 http://centrodeoperacoes.rio/ Accessed 05 October 2016.
-
(2005)
Acmsigir forum
, vol.39
, pp. 55-56
-
-
Castillo, C.1
-
43
-
-
85013970526
-
Big data analysis for financial risk management
-
Cerchiello, P., Giudici, P., Big data analysis for financial risk management. Journal of Big Data 3:1 (2016), 1–12.
-
(2016)
Journal of Big Data
, vol.3
, Issue.1
, pp. 1-12
-
-
Cerchiello, P.1
Giudici, P.2
-
44
-
-
84978374749
-
Meeting revenue management challenges: Knowledge, skills and abilities
-
Cetin, G., Demirçiftçi, T., Bilgihan, A., Meeting revenue management challenges: Knowledge, skills and abilities. International Journal of Hospitality Management 57 (2016), 132–142.
-
(2016)
International Journal of Hospitality Management
, vol.57
, pp. 132-142
-
-
Cetin, G.1
Demirçiftçi, T.2
Bilgihan, A.3
-
45
-
-
68049121093
-
Anomaly detection: A survey
-
Chandola, V., Banerjee, A., Kumar, V., Anomaly detection: A survey. ACM computing surveys (CSUR) 41:3 (2009), 1–15.
-
(2009)
ACM computing surveys (CSUR)
, vol.41
, Issue.3
, pp. 1-15
-
-
Chandola, V.1
Banerjee, A.2
Kumar, V.3
-
47
-
-
84900800509
-
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
-
Chen, C.P., Zhang, C.Y., Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences 275 (2014), 314–347.
-
(2014)
Information Sciences
, vol.275
, pp. 314-347
-
-
Chen, C.P.1
Zhang, C.Y.2
-
48
-
-
85014709685
-
Agile big data analytics for web-based systems: An architecture-centric approach
-
Chen, H.M., Kazman, R., Haziyev, S., Agile big data analytics for web-based systems: An architecture-centric approach. IEEE Transactions on Big Data 2:3 (2016), 234–248.
-
(2016)
IEEE Transactions on Big Data
, vol.2
, Issue.3
, pp. 234-248
-
-
Chen, H.M.1
Kazman, R.2
Haziyev, S.3
-
49
-
-
84916597404
-
Business intelligence and analytics: From big data to big impact
-
Chen, H., Chiang, R.H., Storey, V.C., Business intelligence and analytics: From big data to big impact. MIS quarterly 36:4 (2012), 1165–1188.
-
(2012)
MIS quarterly
, vol.36
, Issue.4
, pp. 1165-1188
-
-
Chen, H.1
Chiang, R.H.2
Storey, V.C.3
-
50
-
-
84876005101
-
Big data challenge: A data management perspective
-
Chen, J., Chen, Y., Du, X., Li, C., Lu, J., Zhao, S., et al. Big data challenge: A data management perspective. Frontiers of Computer Science 7:2 (2013), 157–164.
-
(2013)
Frontiers of Computer Science
, vol.7
, Issue.2
, pp. 157-164
-
-
Chen, J.1
Chen, Y.2
Du, X.3
Li, C.4
Lu, J.5
Zhao, S.6
-
51
-
-
84898796363
-
Big data: A survey
-
Chen, M., Mao, S., Liu, Y., Big data: A survey. Mobile Networks and Applications 19:2 (2014), 171–209.
-
(2014)
Mobile Networks and Applications
, vol.19
, Issue.2
, pp. 171-209
-
-
Chen, M.1
Mao, S.2
Liu, Y.3
-
52
-
-
84923318381
-
Big data deep learning: Challenges and perspectives
-
Chen, X.W., Lin, X., Big data deep learning: Challenges and perspectives. IEEE access 2 (2014), 514–525.
-
(2014)
IEEE access
, vol.2
, pp. 514-525
-
-
Chen, X.W.1
Lin, X.2
-
53
-
-
84975726332
-
Leveraging high-performance computing infrastructures to web data analytic applications by means of message-passing interface
-
Cheptsov, A., Koller, B., Leveraging high-performance computing infrastructures to web data analytic applications by means of message-passing interface. Proceedings of modeling and processing for next-generation big-data technologies, 4, 2015, 167–185.
-
(2015)
Proceedings of modeling and processing for next-generation big-data technologies
, vol.4
, pp. 167-185
-
-
Cheptsov, A.1
Koller, B.2
-
54
-
-
84893847729
-
BizPro: Extracting and categorizing business intelligence factors from textual news articles
-
Chung, W., BizPro: Extracting and categorizing business intelligence factors from textual news articles. International Journal of Information Management 34:2 (2014), 272–284.
-
(2014)
International Journal of Information Management
, vol.34
, Issue.2
, pp. 272-284
-
-
Chung, W.1
-
55
-
-
84860890595
-
Data mining and wind power prediction: A literature review
-
Colak, I., Sagiroglu, S., Yesilbudak, M., Data mining and wind power prediction: A literature review. Renewable Energy 46 (2012), 241–247.
-
(2012)
Renewable Energy
, vol.46
, pp. 241-247
-
-
Colak, I.1
Sagiroglu, S.2
Yesilbudak, M.3
-
57
-
-
84906052061
-
Analytics in empirical/archival financial accounting research
-
Crawley, M., Wahlen, J., Analytics in empirical/archival financial accounting research. Business Horizons 57:5 (2014), 583–593.
-
(2014)
Business Horizons
, vol.57
, Issue.5
, pp. 583-593
-
-
Crawley, M.1
Wahlen, J.2
-
58
-
-
84961566695
-
A formal definition of big data based on its essential features
-
De Mauro, A., Greco, M., Grimaldi, M., A formal definition of big data based on its essential features. Library Review 65:3 (2016), 122–135.
-
(2016)
Library Review
, vol.65
, Issue.3
, pp. 122-135
-
-
De Mauro, A.1
Greco, M.2
Grimaldi, M.3
-
59
-
-
37549003336
-
MapReduce: Simplified data processing on large clusters
-
Dean, J., Ghemawat, S., MapReduce: Simplified data processing on large clusters. Communications of the ACM 51:1 (2008), 107–113.
-
(2008)
Communications of the ACM
, vol.51
, Issue.1
, pp. 107-113
-
-
Dean, J.1
Ghemawat, S.2
-
60
-
-
84886462349
-
A smart healthcare systems framework
-
Demirkan, H., A smart healthcare systems framework. It Professional 15:5 (2013), 38–45.
-
(2013)
It Professional
, vol.15
, Issue.5
, pp. 38-45
-
-
Demirkan, H.1
-
61
-
-
84929522825
-
Extreme learning machine: Algorithm, theory and applications
-
Ding, S., Zhao, H., Zhang, Y., Xu, X., Nie, R., Extreme learning machine: Algorithm, theory and applications. Artificial Intelligence Review 44:1 (2015), 103–115.
-
(2015)
Artificial Intelligence Review
, vol.44
, Issue.1
, pp. 103-115
-
-
Ding, S.1
Zhao, H.2
Zhang, Y.3
Xu, X.4
Nie, R.5
-
62
-
-
84921283366
-
Health level seven interoperability strategy: Big data, incrementally structured
-
Dolin, R.H., Rogers, B., Jaffe, C., Health level seven interoperability strategy: Big data, incrementally structured. Methods of information in medicine 54:1 (2015), 75–82.
-
(2015)
Methods of information in medicine
, vol.54
, Issue.1
, pp. 75-82
-
-
Dolin, R.H.1
Rogers, B.2
Jaffe, C.3
-
63
-
-
84906493976
-
Towards unified object detection and semantic segmentation
-
Springer
-
Dong, J., Chen, Q., Yan, S., Yuille, A., Towards unified object detection and semantic segmentation. Proceedings of European conference on computer vision, 8693, 2014, Springer, 299–314.
-
(2014)
Proceedings of European conference on computer vision
, vol.8693
, pp. 299-314
-
-
Dong, J.1
Chen, Q.2
Yan, S.3
Yuille, A.4
-
64
-
-
70349313631
-
Inferring friendship network structure by using mobile phone data
-
Eagle, N., Pentland, A.S., Lazer, D., Inferring friendship network structure by using mobile phone data. Proceedings of the national academy of sciences 106:36 (2009), 15274–15278.
-
(2009)
Proceedings of the national academy of sciences
, vol.106
, Issue.36
, pp. 15274-15278
-
-
Eagle, N.1
Pentland, A.S.2
Lazer, D.3
-
65
-
-
84994049278
-
Using knowledge management to give context to Analytics and big data and reduce strategic risk
-
Edwards, J.S., Taborda, E.R., Using knowledge management to give context to Analytics and big data and reduce strategic risk. Procedia Computer Science 99 (2016), 36–49.
-
(2016)
Procedia Computer Science
, vol.99
, pp. 36-49
-
-
Edwards, J.S.1
Taborda, E.R.2
-
66
-
-
84908602473
-
A survey of clustering algorithms for big data: Taxonomy and empirical analysis
-
Fahad, A., Alshatri, N., Tari, Z., Alamri, A., Khalil, I., Zomaya, A.Y., et al. A survey of clustering algorithms for big data: Taxonomy and empirical analysis. IEEE Transactions on Emerging Topics in Computing 2:3 (2014), 267–279.
-
(2014)
IEEE Transactions on Emerging Topics in Computing
, vol.2
, Issue.3
, pp. 267-279
-
-
Fahad, A.1
Alshatri, N.2
Tari, Z.3
Alamri, A.4
Khalil, I.5
Zomaya, A.Y.6
-
67
-
-
84913593805
-
Big data: New opportunities for M&A
-
Fanning, K., Drogt, E., Big data: New opportunities for M&A. Journal of Corporate Accounting & Finance 25:2 (2014), 27–34.
-
(2014)
Journal of Corporate Accounting & Finance
, vol.25
, Issue.2
, pp. 27-34
-
-
Fanning, K.1
Drogt, E.2
-
68
-
-
0002283033
-
From data mining to knowledge discovery in databases
-
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., From data mining to knowledge discovery in databases. AI Magazine, 17(3), 1996, 37.
-
(1996)
AI Magazine
, vol.17
, Issue.3
, pp. 37
-
-
Fayyad, U.1
Piatetsky-Shapiro, G.2
Smyth, P.3
-
69
-
-
84881049936
-
Big data processing and mining for next generation intelligent transportation systems
-
Fiosina, J., Fiosins, M., Müller, J.P., Big data processing and mining for next generation intelligent transportation systems. Journal Teknologi 63:3 (2013), 21–38.
-
(2013)
Journal Teknologi
, vol.63
, Issue.3
, pp. 21-38
-
-
Fiosina, J.1
Fiosins, M.2
Müller, J.P.3
-
71
-
-
85048637653
-
Present trends in research on application of artificial neural networks in agricultural engineering
-
Francik, S., Ślipek, Z., Frączek, J., Knapczyk, A., Present trends in research on application of artificial neural networks in agricultural engineering. Agricultural Engineering 20:4 (2016), 15–25.
-
(2016)
Agricultural Engineering
, vol.20
, Issue.4
, pp. 15-25
-
-
Francik, S.1
Ślipek, Z.2
Frączek, J.3
Knapczyk, A.4
-
72
-
-
84892916121
-
A semantic approach to mobile learning analytics
-
ACM
-
Fulantelli, G., Taibi, D., Arrigo, M., A semantic approach to mobile learning analytics. Proceedings of the first international conference on technological ecosystem for enhancing multiculturality, 2013, ACM, 287–292.
-
(2013)
Proceedings of the first international conference on technological ecosystem for enhancing multiculturality
, pp. 287-292
-
-
Fulantelli, G.1
Taibi, D.2
Arrigo, M.3
-
73
-
-
84893275330
-
Quality, trust, and utility of scientific data on the web: Towards a joint model
-
ACM
-
Gamble, M., Goble, C., Quality, trust, and utility of scientific data on the web: Towards a joint model. Proceedings of the 3rd international web science conference, 2011, ACM, 1–15.
-
(2011)
Proceedings of the 3rd international web science conference
, pp. 1-15
-
-
Gamble, M.1
Goble, C.2
-
74
-
-
84919389514
-
Beyond the hype: Big data concepts, methods, and analytics
-
Gandomi, A., Haider, M., Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management 35:2 (2015), 137–144.
-
(2015)
International Journal of Information Management
, vol.35
, Issue.2
, pp. 137-144
-
-
Gandomi, A.1
Haider, M.2
-
75
-
-
84864133585
-
Extracting value from chaos
-
Accessed 12 Feb 2016
-
Gantz, J., Reinsel, D., Extracting value from chaos. IDC iview 1142 (2011), 1–12 https://www.emcgrandprix.com/collateral/analyst-reports/idc-extracting-value-from-chaos-ar.pdf/ Accessed 12 Feb 2016.
-
(2011)
IDC iview
, vol.1142
, pp. 1-12
-
-
Gantz, J.1
Reinsel, D.2
-
76
-
-
85048625856
-
-
Gartner, Inc., (2011). Pattern-based strategy: getting value from big data. Accessed 12 Feb 2016.
-
Gartner, Inc., (2011). Pattern-based strategy: getting value from big data. http://www.gartner.com/it/page.jsp?id=1731916 Accessed 12 Feb 2016.
-
-
-
-
77
-
-
85048610511
-
-
Google Scholar, Digital library. Accessed 20 Dec 2017.
-
Google Scholar, Digital library. http://www.scholar.google.co.in/ Accessed 20 Dec 2017.
-
-
-
-
78
-
-
84876943063
-
Internet of Things (IoT): A vision, architectural elements, and future directions
-
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M., Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems 29:7 (2013), 1645–1660.
-
(2013)
Future generation computer systems
, vol.29
, Issue.7
, pp. 1645-1660
-
-
Gubbi, J.1
Buyya, R.2
Marusic, S.3
Palaniswami, M.4
-
79
-
-
84957837518
-
Deep learning for visual understanding: A review
-
Guo, Y., Liu, Y., Oerlemans, A., Lao, S., Wu, S., Lew, M.S., Deep learning for visual understanding: A review. Neurocomputing 187 (2016), 27–48.
-
(2016)
Neurocomputing
, vol.187
, pp. 27-48
-
-
Guo, Y.1
Liu, Y.2
Oerlemans, A.3
Lao, S.4
Wu, S.5
Lew, M.S.6
-
80
-
-
85048639166
-
-
Apache hadoop. Accessed 12 Nov 2017.
-
Hadoop, A. (2011). Apache hadoop. http://omeroztat.com/docs/Hadoop.pdf/ Accessed 12 Nov 2017.
-
(2011)
-
-
Hadoop, A.1
-
81
-
-
84994684186
-
Bringing analytics to life
-
Hagel, J., Bringing analytics to life. Journal of Accountancy 219 (2015), 24–25.
-
(2015)
Journal of Accountancy
, vol.219
, pp. 24-25
-
-
Hagel, J.1
-
82
-
-
84951274661
-
High-performance analytics fuels innovation and inclusive growth: Use big data, hyper connectivity and speed to intelligence to get true value in the digital economy
-
Hagstrom, M., High-performance analytics fuels innovation and inclusive growth: Use big data, hyper connectivity and speed to intelligence to get true value in the digital economy. Journal of Advanced Analytics 2 (2012), 3–4.
-
(2012)
Journal of Advanced Analytics
, vol.2
, pp. 3-4
-
-
Hagstrom, M.1
-
84
-
-
84951731070
-
Linking operational business intelligence with value-based business requirements
-
Springer
-
Hänel, T., Felden, C., Linking operational business intelligence with value-based business requirements. Proceedings of conference on e-Business, e-Services and e-Society, 9373, 2015, Springer, 147–159.
-
(2015)
Proceedings of conference on e-Business, e-Services and e-Society
, vol.9373
, pp. 147-159
-
-
Hänel, T.1
Felden, C.2
-
85
-
-
85048643689
-
-
G. (1983). A tutorial on techniques and applications for natural language processing, 1–14. Accessed 12 Nov 2017.
-
Hayes, P. J., & Carbonell, J. G. (1983). A tutorial on techniques and applications for natural language processing, 1–14. http://repository.cmu.edu/cgi/viewcontent.cgi?article=2483&context=compsci/ Accessed 12 Nov 2017.
-
-
-
Hayes, P.J.1
Carbonell, J.2
-
86
-
-
85000714737
-
Big Data and predictive analytics for supply chain sustainability y: A theory-driven research agenda
-
Hazen, B.T., Skipper, J.B., Ezell, J.D., Boone, C.A., Big Data and predictive analytics for supply chain sustainability y: A theory-driven research agenda. Computers & Industrial Engineering 101 (2016), 592–598.
-
(2016)
Computers & Industrial Engineering
, vol.101
, pp. 592-598
-
-
Hazen, B.T.1
Skipper, J.B.2
Ezell, J.D.3
Boone, C.A.4
-
87
-
-
84901191688
-
Fast face recognition via sparse coding and extreme learning machine
-
He, B., Xu, D., Nian, R., van Heeswijk, M., Yu, Q., Miche, Y., et al. Fast face recognition via sparse coding and extreme learning machine. Cognitive Computation 6:2 (2014), 264–277.
-
(2014)
Cognitive Computation
, vol.6
, Issue.2
, pp. 264-277
-
-
He, B.1
Xu, D.2
Nian, R.3
van Heeswijk, M.4
Yu, Q.5
Miche, Y.6
-
88
-
-
0034372481
-
Applications of artificial neural networks in chemical engineering
-
Himmelblau, D.M., Applications of artificial neural networks in chemical engineering. Korean journal of chemical engineering 17:4 (2000), 373–392.
-
(2000)
Korean journal of chemical engineering
, vol.17
, Issue.4
, pp. 373-392
-
-
Himmelblau, D.M.1
-
89
-
-
84885737911
-
You're as Sick as You Sound”: Using computational approaches for modeling speaker state to gauge illness and recovery
-
Hirschberg, J., Hjalmarsson, A., Elhadad, N., You're as Sick as You Sound”: Using computational approaches for modeling speaker state to gauge illness and recovery. Proceedings of advances in speech recognition, 2010, 305–322.
-
(2010)
Proceedings of advances in speech recognition
, pp. 305-322
-
-
Hirschberg, J.1
Hjalmarsson, A.2
Elhadad, N.3
-
90
-
-
84924803045
-
LSDA: Large scale detection through adaptation
-
Hoffman, J., Guadarrama, S., Tzeng, E.S., Hu, R., Donahue, J., Girshick, R., et al. LSDA: Large scale detection through adaptation. Proceedings of advances in neural information processing systems, 2014, 3536–3544.
-
(2014)
Proceedings of advances in neural information processing systems
, pp. 3536-3544
-
-
Hoffman, J.1
Guadarrama, S.2
Tzeng, E.S.3
Hu, R.4
Donahue, J.5
Girshick, R.6
-
91
-
-
85048600981
-
-
Hortonworks, (2011). Accessed 12 Nov 2017.
-
Hortonworks, (2011). http://hortonworks.com/products/hortonworks-sandbox/ Accessed 12 Nov 2017.
-
-
-
-
92
-
-
85048624936
-
-
HP-HAVEn, (2013). Accessed 12 Nov 2017.
-
HP-HAVEn, (2013). https://en.wikipedia.org/wiki/HP_Autonomy/ Accessed 12 Nov 2017.
-
-
-
-
93
-
-
84923224316
-
Toward scalable systems for big data analytics: A technology tutorial
-
Hu, H., Wen, Y., Chua, T.S., Li, X., Toward scalable systems for big data analytics: A technology tutorial. IEEE access 2 (2014), 652–687.
-
(2014)
IEEE access
, vol.2
, pp. 652-687
-
-
Hu, H.1
Wen, Y.2
Chua, T.S.3
Li, X.4
-
94
-
-
84929336516
-
Design of a web-based application of the coupled multi-agent system model and environmental model for watershed management analysis using Hadoop
-
Hu, Y., Cai, X., DuPont, B., Design of a web-based application of the coupled multi-agent system model and environmental model for watershed management analysis using Hadoop. Environmental Modeling & Software 70 (2015), 149–162.
-
(2015)
Environmental Modeling & Software
, vol.70
, pp. 149-162
-
-
Hu, Y.1
Cai, X.2
DuPont, B.3
-
95
-
-
79958178274
-
Extreme learning machines: A survey
-
Huang, G.B., Wang, D.H., Lan, Y., Extreme learning machines: A survey. International Journal of Machine Learning and Cybernetics 2:2 (2011), 107–122.
-
(2011)
International Journal of Machine Learning and Cybernetics
, vol.2
, Issue.2
, pp. 107-122
-
-
Huang, G.B.1
Wang, D.H.2
Lan, Y.3
-
96
-
-
84908682236
-
Trends in extreme learning machines: A review
-
Huang, G., Huang, G.B., Song, S., You, K., Trends in extreme learning machines: A review. Neural Networks 61 (2015), 32–48.
-
(2015)
Neural Networks
, vol.61
, pp. 32-48
-
-
Huang, G.1
Huang, G.B.2
Song, S.3
You, K.4
-
97
-
-
85048636543
-
-
H2O. Big Data. Accessed 12 Dec 2017.
-
H2O. Big Data, 2011. https://www.h2o.ai/ Accessed 12 Dec 2017.
-
(2011)
-
-
-
98
-
-
85048640935
-
-
IEEE Xplore. Digital Library. Accessed 30 Dec 2017.
-
IEEE Xplore. Digital Library. http://www.ieeexplore.ieee.org/ Accessed 30 Dec 2017.
-
-
-
-
99
-
-
85048610175
-
-
Infobright, (2005). Accessed 20 Dec 2017.
-
Infobright, (2005). http://www.infobright.com/ Accessed 20 Dec 2017.
-
-
-
-
100
-
-
84992490341
-
Data mining techniques in social media: A survey
-
Injadat, M., Salo, F., Nassif, A.B., Data mining techniques in social media: A survey. Neurocomputing 214 (2016), 654–670.
-
(2016)
Neurocomputing
, vol.214
, pp. 654-670
-
-
Injadat, M.1
Salo, F.2
Nassif, A.B.3
-
101
-
-
85078814844
-
Big data analytics and computational intelligence for cyber–physical systems: Recent trends and state of the art applications
-
Iqbal, R., Doctor, F., More, B., Mahmud, S., Yousuf, U., Big data analytics and computational intelligence for cyber–physical systems: Recent trends and state of the art applications. Future Generation Computer Systems, 2017, 1–13.
-
(2017)
Future Generation Computer Systems
, pp. 1-13
-
-
Iqbal, R.1
Doctor, F.2
More, B.3
Mahmud, S.4
Yousuf, U.5
-
102
-
-
84872682391
-
Environmental training in organisations: From a literature review to a framework for future research
-
Jabbour, C.J.C., Environmental training in organisations: From a literature review to a framework for future research. Resources, Conservation and Recycling 74 (2013), 144–155.
-
(2013)
Resources, Conservation and Recycling
, vol.74
, pp. 144-155
-
-
Jabbour, C.J.C.1
-
103
-
-
85048626467
-
Artificial neural networks and its applications
-
Accessed 12 March 2016
-
Jha, G.K., Artificial neural networks and its applications. IARI, New Delhi, 2007, 1–9 http://bioinformatics.iasri.res.in/BAMAST/Book.html/EbookNew/web/book/module3/ANNanditsApplications.pdf. Accessed 12 March 2016.
-
(2007)
IARI, New Delhi
, pp. 1-9
-
-
Jha, G.K.1
-
104
-
-
84924420241
-
Applications and implementation of decomposition storage model (DSM) in paas of agricultural
-
Springer
-
Jiang, S., Chen, T.E., Dong, J., Wang, C., Applications and implementation of decomposition storage model (DSM) in paas of agricultural. Proceedings of international conference on computer and computing technologies in agriculture, 420, 2013, Springer, 34–41.
-
(2013)
Proceedings of international conference on computer and computing technologies in agriculture
, vol.420
, pp. 34-41
-
-
Jiang, S.1
Chen, T.E.2
Dong, J.3
Wang, C.4
-
105
-
-
84929170243
-
Significance and challenges of big data research
-
Jin, X., Wah, B.W., Cheng, X., Wang, Y., Significance and challenges of big data research. Big Data Research 2:2 (2015), 59–64.
-
(2015)
Big Data Research
, vol.2
, Issue.2
, pp. 59-64
-
-
Jin, X.1
Wah, B.W.2
Cheng, X.3
Wang, Y.4
-
106
-
-
84933513051
-
Augmenting data warehouses with Big Data
-
Jukic, N., Sharma, A., Nestorov, S., Jukic, B., Augmenting data warehouses with Big Data. Information Systems Management 32:3 (2015), 200–209.
-
(2015)
Information Systems Management
, vol.32
, Issue.3
, pp. 200-209
-
-
Jukic, N.1
Sharma, A.2
Nestorov, S.3
Jukic, B.4
-
107
-
-
84901640093
-
Trends in big data analytics
-
Kambatla, K., Kollias, G., Kumar, V., Grama, A., Trends in big data analytics. Journal of Parallel and Distributed Computing 74:7 (2014), 2561–2573.
-
(2014)
Journal of Parallel and Distributed Computing
, vol.74
, Issue.7
, pp. 2561-2573
-
-
Kambatla, K.1
Kollias, G.2
Kumar, V.3
Grama, A.4
-
108
-
-
85017570933
-
A survey on scholarly data: From big data perspective
-
Khan, S., Liu, X., Shakil, K.A., Alam, M., A survey on scholarly data: From big data perspective. Information Processing & Management 53:4 (2017), 923–944.
-
(2017)
Information Processing & Management
, vol.53
, Issue.4
, pp. 923-944
-
-
Khan, S.1
Liu, X.2
Shakil, K.A.3
Alam, M.4
-
109
-
-
84926427942
-
Towards cloud based big data analytics for smart future cities
-
Khan, Z., Anjum, A., Soomro, K., Tahir, M.A., Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing, 4(1), 2015, 2.
-
(2015)
Journal of Cloud Computing
, vol.4
, Issue.1
, pp. 2
-
-
Khan, Z.1
Anjum, A.2
Soomro, K.3
Tahir, M.A.4
-
110
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Krizhevsky, A., Sutskever, I., Hinton, G.E., Imagenet classification with deep convolutional neural networks. Proceedings of advances in neural information processing systems, 2012, 1097–1105.
-
(2012)
Proceedings of advances in neural information processing systems
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
111
-
-
84983746515
-
The emerging role of Big Data in key development issues: Opportunities, challenges, and concerns
-
Kshetri, N., The emerging role of Big Data in key development issues: Opportunities, challenges, and concerns. Big Data & Society 1:2 (2014), 1–20.
-
(2014)
Big Data & Society
, vol.1
, Issue.2
, pp. 1-20
-
-
Kshetri, N.1
-
112
-
-
84953857304
-
Big data's role in expanding access to financial services in China
-
Kshetri, N., Big data's role in expanding access to financial services in China. International Journal of Information Management 36:3 (2016), 297–308.
-
(2016)
International Journal of Information Management
, vol.36
, Issue.3
, pp. 297-308
-
-
Kshetri, N.1
-
113
-
-
84875208588
-
The mobile data challenge: Big data for mobile computing research
-
Laurila, J.K., Gatica-Perez, D., Aad, I., Bornet, O., Do, T.M.T., Dousse, O., et al. The mobile data challenge: Big data for mobile computing research. Proceedings of pervasive computing, 2012, 1–8.
-
(2012)
Proceedings of pervasive computing
, pp. 1-8
-
-
Laurila, J.K.1
Gatica-Perez, D.2
Aad, I.3
Bornet, O.4
Do, T.M.T.5
Dousse, O.6
-
114
-
-
84903144218
-
Focusing accounting curricula on students' long-run careers: Recommendations for an integrated competency-based framework for accounting education
-
Lawson, R.A., Blocher, E.J., Brewer, P.C., Cokins, G., Sorensen, J.E., Stout, D.E., et al. Focusing accounting curricula on students' long-run careers: Recommendations for an integrated competency-based framework for accounting education. Issues in Accounting Education 29:2 (2013), 295–317.
-
(2013)
Issues in Accounting Education
, vol.29
, Issue.2
, pp. 295-317
-
-
Lawson, R.A.1
Blocher, E.J.2
Brewer, P.C.3
Cokins, G.4
Sorensen, J.E.5
Stout, D.E.6
-
115
-
-
59849122652
-
Life in the network: The coming age of computational social science
-
Lazer, D., Pentland, A.S., Adamic, L., Aral, S., Barabasi, A.L., Brewer, D., et al. Life in the network: The coming age of computational social science. Science (New York, NY), 323(5915), 2009, 721.
-
(2009)
Science (New York, NY)
, vol.323
, Issue.5915
, pp. 721
-
-
Lazer, D.1
Pentland, A.S.2
Adamic, L.3
Aral, S.4
Barabasi, A.L.5
Brewer, D.6
-
116
-
-
84881429415
-
Bringing big analytics to the masses
-
Leavitt, N., Bringing big analytics to the masses. Computer 46:1 (2013), 20–23.
-
(2013)
Computer
, vol.46
, Issue.1
, pp. 20-23
-
-
Leavitt, N.1
-
117
-
-
84960841689
-
Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics
-
Lee, J., Bagheri, B., Kao, H.A., Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics. Proceeding of international conference on industrial informatics (INDIN), 2014, 1–6.
-
(2014)
Proceeding of international conference on industrial informatics (INDIN)
, pp. 1-6
-
-
Lee, J.1
Bagheri, B.2
Kao, H.A.3
-
118
-
-
85048640662
-
Predictive big data analytics and cyber physical systems for TES systems
-
Springer Cham (Chapter 7)
-
Lee, J., Jin, C., Liu, Z., Predictive big data analytics and cyber physical systems for TES systems. Advances in Through-life Engineering Services, 2017, Springer, Cham, 97–112 (Chapter 7).
-
(2017)
Advances in Through-life Engineering Services
, pp. 97-112
-
-
Lee, J.1
Jin, C.2
Liu, Z.3
-
119
-
-
84900346725
-
Agricultural production system based on IOT
-
IEEE
-
Lee, M., Hwang, J., Yoe, H., Agricultural production system based on IOT. Proceedings of IEEE 16th international conference on computational science and engineering (CSE), 2013, IEEE, 833–837.
-
(2013)
Proceedings of IEEE 16th international conference on computational science and engineering (CSE)
, pp. 833-837
-
-
Lee, M.1
Hwang, J.2
Yoe, H.3
-
120
-
-
84863505275
-
Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs
-
Lee, S., Xing, E.P., Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs. Bioinformatics 28:12 (2012), i137–i146.
-
(2012)
Bioinformatics
, vol.28
, Issue.12
, pp. i137-i146
-
-
Lee, S.1
Xing, E.P.2
-
121
-
-
84985902818
-
Survey of recent research progress and issues in big data
-
Washington University in St. Louis USA
-
Li, B., Jain, R., Survey of recent research progress and issues in big data. 2013, Washington University in St. Louis, USA, 1–13.
-
(2013)
, pp. 1-13
-
-
Li, B.1
Jain, R.2
-
122
-
-
84874263116
-
Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships
-
ACM
-
Li, Y., Chen, W., Wang, Y., Zhang, Z.L., Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships. Proceedings of the 56th ACM international conference on Web search and data mining, 2013, ACM, 657–666.
-
(2013)
Proceedings of the 56th ACM international conference on Web search and data mining
, pp. 657-666
-
-
Li, Y.1
Chen, W.2
Wang, Y.3
Zhang, Z.L.4
-
123
-
-
84861200365
-
Data mining techniques and applications–A decade review from 2000 to 2011
-
Liao, S.H., Chu, P.H., Hsiao, P.Y., Data mining techniques and applications–A decade review from 2000 to 2011. Expert systems with applications 39:12 (2012), 11303–11311.
-
(2012)
Expert systems with applications
, vol.39
, Issue.12
, pp. 11303-11311
-
-
Liao, S.H.1
Chu, P.H.2
Hsiao, P.Y.3
-
124
-
-
84951971627
-
Rethinking big data: A review on the data quality and usage issues
-
Liu, J., Li, J., Li, W., Wu, J., Rethinking big data: A review on the data quality and usage issues. ISPRS Journal of Photogrammetry and Remote Sensing 115 (2016), 134–142.
-
(2016)
ISPRS Journal of Photogrammetry and Remote Sensing
, vol.115
, pp. 134-142
-
-
Liu, J.1
Li, J.2
Li, W.3
Wu, J.4
-
125
-
-
85010651075
-
A survey of deep neural network architectures and their applications
-
Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., Alsaadi, F.E., A survey of deep neural network architectures and their applications. Neurocomputing 234 (2017), 11–26.
-
(2017)
Neurocomputing
, vol.234
, pp. 11-26
-
-
Liu, W.1
Wang, Z.2
Liu, X.3
Zeng, N.4
Liu, Y.5
Alsaadi, F.E.6
-
126
-
-
84962446665
-
Deep index for accurate and efficient image retrieval
-
ACM
-
Liu, Y., Guo, Y., Wu, S., Lew, M.S., Deep index for accurate and efficient image retrieval. Proceedings of the 5th ACM on international conference on multimedia retrieval, 2015, ACM, 43–50.
-
(2015)
Proceedings of the 5th ACM on international conference on multimedia retrieval
, pp. 43-50
-
-
Liu, Y.1
Guo, Y.2
Wu, S.3
Lew, M.S.4
-
127
-
-
85021713833
-
Analysis of agriculture data using data mining techniques: Application of big data
-
Majumdar, J., Naraseeyappa, S., Ankalaki, S., Analysis of agriculture data using data mining techniques: Application of big data. Journal of Big Data, 4(1), 2017, 20.
-
(2017)
Journal of Big Data
, vol.4
, Issue.1
, pp. 20
-
-
Majumdar, J.1
Naraseeyappa, S.2
Ankalaki, S.3
-
128
-
-
81055138684
-
-
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburg, C., et al. Big data: The next frontier for innovation, competition and productivity, 2011.
-
(2011)
Big data: The next frontier for innovation, competition and productivity
-
-
Manyika, J.1
Chui, M.2
Brown, B.3
Bughin, J.4
Dobbs, R.5
Roxburg, C.6
-
129
-
-
85028044013
-
Big IoT data analytics: Architecture, opportunities, and open research challenges
-
Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I.A.T., Siddiqa, A., et al. Big IoT data analytics: Architecture, opportunities, and open research challenges. IEEE Access 5 (2017), 5247–5261.
-
(2017)
IEEE Access
, vol.5
, pp. 5247-5261
-
-
Marjani, M.1
Nasaruddin, F.2
Gani, A.3
Karim, A.4
Hashem, I.A.T.5
Siddiqa, A.6
-
131
-
-
84950295488
-
A data quality in use model for big data
-
Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M., A data quality in use model for big data. Future Generation Computer Systems 63 (2016), 123–130.
-
(2016)
Future Generation Computer Systems
, vol.63
, pp. 123-130
-
-
Merino, J.1
Caballero, I.2
Rivas, B.3
Serrano, M.4
Piattini, M.5
-
132
-
-
85056441582
-
Big data analytics capabilities: A systematic literature review and research agenda
-
Mikalef, P., Pappas, I.O., Krogstie, J., Giannakos, M., Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and e-Business Management, 2017, 1–32.
-
(2017)
Information Systems and e-Business Management
, pp. 1-32
-
-
Mikalef, P.1
Pappas, I.O.2
Krogstie, J.3
Giannakos, M.4
-
133
-
-
78650259840
-
What is your digital business strategy?
-
Mithas, S., Lucas, H.C., What is your digital business strategy?. IT professional 12:6 (2010), 4–6.
-
(2010)
IT professional
, vol.12
, Issue.6
, pp. 4-6
-
-
Mithas, S.1
Lucas, H.C.2
-
134
-
-
84867292365
-
A linked data approach to assessing medical data
-
Moss, L., Corsar, D., Piper, I., A linked data approach to assessing medical data. Proceedings of IEEE 25th international symposium on computer-based medical systems (CBMS), 2012 IEEE, 2012, 1–4.
-
(2012)
Proceedings of IEEE 25th international symposium on computer-based medical systems (CBMS), 2012 IEEE
, pp. 1-4
-
-
Moss, L.1
Corsar, D.2
Piper, I.3
-
135
-
-
85013977220
-
Deep learning applications and challenges in big data analytics
-
Najafabadi, M.M., Villanustre, F., Khoshgoftaar, T.M., Seliya, N., Wald, R., Muharemagic, E., Deep learning applications and challenges in big data analytics. Journal of Big Data 2:1 (2015), 1–21.
-
(2015)
Journal of Big Data
, vol.2
, Issue.1
, pp. 1-21
-
-
Najafabadi, M.M.1
Villanustre, F.2
Khoshgoftaar, T.M.3
Seliya, N.4
Wald, R.5
Muharemagic, E.6
-
136
-
-
84943160066
-
Artificial neural network learning: A comparative review, Methods and Applications of Artificial Intelligence
-
Springer Berlin, Heidelberg
-
Neocleous, C., Schizas, C., Artificial neural network learning: A comparative review, Methods and Applications of Artificial Intelligence. Hellenic Conference on Artificial Intelligence 2308, 2002, Springer, Berlin, Heidelberg, 300–313.
-
(2002)
Hellenic Conference on Artificial Intelligence 2308
, pp. 300-313
-
-
Neocleous, C.1
Schizas, C.2
-
137
-
-
56349094668
-
Application of data mining techniques in customer relationship management: A literature review and classification
-
Ngai, E.W., Xiu, L., Chau, D.C., Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications 36:2 (2009), 2592–2602.
-
(2009)
Expert systems with applications
, vol.36
, Issue.2
, pp. 2592-2602
-
-
Ngai, E.W.1
Xiu, L.2
Chau, D.C.3
-
138
-
-
85041709496
-
Entendiendo el big data: Antecedentes, Origen Y Desarrollo Posterior
-
Nino, M., Illarramendi, A., Entendiendo el big data: Antecedentes, Origen Y Desarrollo Posterior. DYNA New Technologies 2:1 (2015), 1–8.
-
(2015)
DYNA New Technologies
, vol.2
, Issue.1
, pp. 1-8
-
-
Nino, M.1
Illarramendi, A.2
-
139
-
-
84929505229
-
Big data for the enterprise
-
Oracle Redwood Shores Accessed 30 Dec 2017
-
Oracle. Big data for the enterprise. 2012, Oracle, Redwood Shores http://www.oracle.com/us/products/database/big-data-for-enterprise-519135.pdf/ Accessed 30 Dec 2017.
-
(2012)
-
-
-
140
-
-
84966660707
-
Towards a smart city: Design of a domestic smart grid
-
Ortiz-Rangel, M., Rueda-Vasquez, L., Duarte-Gualdron, C., Petit, J., Ordóñez-Plata, G., Towards a smart city: Design of a domestic smart grid. Proceedings of innovative smart grid technologies Latin America (ISGT LATAM), 2015, 863–868.
-
(2015)
Proceedings of innovative smart grid technologies Latin America (ISGT LATAM)
, pp. 863-868
-
-
Ortiz-Rangel, M.1
Rueda-Vasquez, L.2
Duarte-Gualdron, C.3
Petit, J.4
Ordóñez-Plata, G.5
-
141
-
-
85053575081
-
Big data technologies: A survey
-
Oussous, A., Benjelloun, F.Z., Lahcen, A.A., Belfkih, S., Big data technologies: A survey. Journal of King Saud University-Computer and Information Sciences, 2017, 1–18.
-
(2017)
Journal of King Saud University-Computer and Information Sciences
, pp. 1-18
-
-
Oussous, A.1
Benjelloun, F.Z.2
Lahcen, A.A.3
Belfkih, S.4
-
142
-
-
84911409274
-
Multi-source deep learning for human pose estimation
-
IEEE
-
Ouyang, W., Chu, X., Wang, X., Multi-source deep learning for human pose estimation. Proceedings of the IEEE conference on computer vision and pattern recognition, 2014, IEEE, 2329–2336.
-
(2014)
Proceedings of the IEEE conference on computer vision and pattern recognition
, pp. 2329-2336
-
-
Ouyang, W.1
Chu, X.2
Wang, X.3
-
143
-
-
84946822182
-
Reference architecture and classification of technologies, products and services for big data systems
-
Pääkkönen, P., Pakkala, D., Reference architecture and classification of technologies, products and services for big data systems. Big Data Research 2:4 (2015), 166–186.
-
(2015)
Big Data Research
, vol.2
, Issue.4
, pp. 166-186
-
-
Pääkkönen, P.1
Pakkala, D.2
-
144
-
-
84888290950
-
Educational data mining: A survey and a data mining-based analysis of recent works
-
Peña-Ayala, A., Educational data mining: A survey and a data mining-based analysis of recent works. Expert systems with applications 41:4 (2014), 1432–1462.
-
(2014)
Expert systems with applications
, vol.41
, Issue.4
, pp. 1432-1462
-
-
Peña-Ayala, A.1
-
145
-
-
0035789498
-
Ontology-guided knowledge discovery in databases
-
ACM
-
Phillips, J., Buchanan, B.G., Ontology-guided knowledge discovery in databases. Proceedings of the 1st international conference on Knowledge capture, 2001, ACM, 123–130.
-
(2001)
Proceedings of the 1st international conference on Knowledge capture
, pp. 123-130
-
-
Phillips, J.1
Buchanan, B.G.2
-
146
-
-
85048604787
-
-
Pivotal big data suite, (2016). Accessed 30 Dec 2017.
-
Pivotal big data suite, (2016). http://pivotal.io/big-data/pivotal-big-data-suite/ Accessed 30 Dec 2017.
-
-
-
-
148
-
-
85048602688
-
-
PricewaterhouseCoopers, (2015). Data driven: What students need to succeed in a rapidly changing business world. White Paper. Accessed 23 May 2016.
-
PricewaterhouseCoopers, (2015). Data driven: What students need to succeed in a rapidly changing business world. White Paper. https://www.pwc.com/us/en/faculty-resource/assets/PwC-Data-driven-paper-Feb2015.pdf/ Accessed 23 May 2016.
-
-
-
-
149
-
-
84971233935
-
A survey of machine learning for big data processing
-
Qiu, J., Wu, Q., Ding, G., Xu, Y., Feng, S., A survey of machine learning for big data processing. EURASIP Journal on Advances in Signal Processing 2016:1 (2016), 1–16.
-
(2016)
EURASIP Journal on Advances in Signal Processing
, vol.2016
, Issue.1
, pp. 1-16
-
-
Qiu, J.1
Wu, Q.2
Ding, G.3
Xu, Y.4
Feng, S.5
-
150
-
-
85104094046
-
Big data analytics in healthcare: Promise and potential
-
Raghupathi, W., Raghupathi, V., Big data analytics in healthcare: Promise and potential. Health Information Science and Systems, 2(1), 2014, 3.
-
(2014)
Health Information Science and Systems
, vol.2
, Issue.1
, pp. 3
-
-
Raghupathi, W.1
Raghupathi, V.2
-
151
-
-
84949436794
-
Big Data and analytics—A Journey through basic concepts to research issues
-
Springer
-
Ramannavar, M., Sidnal, N.S., Big Data and analytics—A Journey through basic concepts to research issues. Proceedings of the international conference on soft computing systems, 398, 2016, Springer, 291–306.
-
(2016)
Proceedings of the international conference on soft computing systems
, vol.398
, pp. 291-306
-
-
Ramannavar, M.1
Sidnal, N.S.2
-
152
-
-
85010302955
-
IoT-based smart city development using big data analytical approach
-
ACM
-
Rathore, M.M., Ahmad, A., Paul, A., IoT-based smart city development using big data analytical approach. Proceedings of IEEE international conference on automatica (ICA-ACCA), 2016, ACM, 1–8.
-
(2016)
Proceedings of IEEE international conference on automatica (ICA-ACCA)
, pp. 1-8
-
-
Rathore, M.M.1
Ahmad, A.2
Paul, A.3
-
153
-
-
47049105605
-
A middleware framework for ambiguous context mediation in smart healthcare application
-
IEEE 72-72
-
Roy, N., Pallapa, G., Das, S.K., A middleware framework for ambiguous context mediation in smart healthcare application. Proceedings of third IEEE international conference on wireless and mobile computing, networking and communications, 2007. WiMOB 2007., 2007, IEEE 72-72.
-
(2007)
Proceedings of third IEEE international conference on wireless and mobile computing, networking and communications, 2007. WiMOB 2007.
-
-
Roy, N.1
Pallapa, G.2
Das, S.K.3
-
154
-
-
84977873916
-
The graph story of the SAP HANA database
-
Rudolf, M., Paradies, M., Bornhövd, C., Lehner, W., The graph story of the SAP HANA database. In BTW 13 (2013), 403–420.
-
(2013)
In BTW
, vol.13
, pp. 403-420
-
-
Rudolf, M.1
Paradies, M.2
Bornhövd, C.3
Lehner, W.4
-
155
-
-
85048640879
-
-
Rhipe. Accessed 30 Dec 2017.
-
Rhipe, 2003. https://www.rhipe.com/ Accessed 30 Dec 2017.
-
(2003)
-
-
-
156
-
-
77950680873
-
Protein sequences classification by means of feature extraction with substitution matrices
-
Saidi, R., Maddouri, M., Nguifo, E.M., Protein sequences classification by means of feature extraction with substitution matrices. BMC bioinformatics, 11(1), 2010, 175.
-
(2010)
BMC bioinformatics
, vol.11
, Issue.1
, pp. 175
-
-
Saidi, R.1
Maddouri, M.2
Nguifo, E.M.3
-
157
-
-
84884206210
-
Enhancing financial performance with social media: An impression management perspective
-
Schniederjans, D., Cao, E., Schniederjans, M., Enhancing financial performance with social media: An impression management perspective. Decision Support Systems 55:4 (2013), 911–918.
-
(2013)
Decision Support Systems
, vol.55
, Issue.4
, pp. 911-918
-
-
Schniederjans, D.1
Cao, E.2
Schniederjans, M.3
-
158
-
-
85048614430
-
-
Science Direct, Digital library. Accessed 30 Dec 2017.
-
Science Direct, Digital library. www.sciencedirect.com/ Accessed 30 Dec 2017.
-
-
-
-
159
-
-
84994574715
-
A model for unpacking big data analytics in high-frequency trading
-
Seddon, J.J., Currie, W.L., A model for unpacking big data analytics in high-frequency trading. Journal of Business Research 70 (2017), 300–307.
-
(2017)
Journal of Business Research
, vol.70
, pp. 300-307
-
-
Seddon, J.J.1
Currie, W.L.2
-
160
-
-
85009654757
-
The strategic business value of big data
-
Springer Cham (Chapter 3)
-
Serrato, M., Ramirez, J., The strategic business value of big data. Big Data Management, 2017, Springer, Cham, 47–70 (Chapter 3).
-
(2017)
Big Data Management
, pp. 47-70
-
-
Serrato, M.1
Ramirez, J.2
-
161
-
-
85015235622
-
An extended IoT framework with semantics, big data, and analytics
-
IEEE
-
Sezer, OmerBerat, Dogdu, Erdogan, Ozbayoglu, Murat, Onal, Aras, An extended IoT framework with semantics, big data, and analytics. Proceedings of IEEE international conference big data (Big Data), 2016, IEEE, 1849–1856.
-
(2016)
Proceedings of IEEE international conference big data (Big Data)
, pp. 1849-1856
-
-
Sezer, O.1
Dogdu, E.2
Ozbayoglu, M.3
Onal, A.4
-
162
-
-
85020799716
-
A multidisciplinary perspective of big data in management research
-
Sheng, J., Amankwah-Amoah, J., Wang, X., A multidisciplinary perspective of big data in management research. International Journal of Production Economics 191 (2017), 97–112.
-
(2017)
International Journal of Production Economics
, vol.191
, pp. 97-112
-
-
Sheng, J.1
Amankwah-Amoah, J.2
Wang, X.3
-
163
-
-
84929645945
-
Demystifying big data: Anatomy of big data developmental process
-
Shin, D.H., Demystifying big data: Anatomy of big data developmental process. Telecommunications Policy 40:9 (2016), 837–854.
-
(2016)
Telecommunications Policy
, vol.40
, Issue.9
, pp. 837-854
-
-
Shin, D.H.1
-
164
-
-
84978946777
-
A survey of big data management: Taxonomy and state-of-the-art
-
Siddiqa, A., Hashem, I.A.T., Yaqoob, I., Marjani, M., Shamshirband, S., Gani, A., et al. A survey of big data management: Taxonomy and state-of-the-art. Journal of Network and Computer Applications 71 (2016), 151–166.
-
(2016)
Journal of Network and Computer Applications
, vol.71
, pp. 151-166
-
-
Siddiqa, A.1
Hashem, I.A.T.2
Yaqoob, I.3
Marjani, M.4
Shamshirband, S.5
Gani, A.6
-
165
-
-
84870303679
-
Seven reasons you need predictive analytics today
-
Prediction Impact Inc San Francisco, CA (415)
-
Siegal, E., Seven reasons you need predictive analytics today. 2010, Prediction Impact Inc, San Francisco, CA, 683–1146 (415).
-
(2010)
, pp. 683-1146
-
-
Siegal, E.1
-
166
-
-
84904152254
-
The visual organization: data visualization, big Data, and the quest for better decisions
-
Wiley Hoboken
-
Simon, P., The visual organization: data visualization, big Data, and the quest for better decisions. 2014, Wiley, Hoboken.
-
(2014)
-
-
Simon, P.1
-
167
-
-
85027936282
-
Critical analysis of Big Data challenges and analytical methods
-
Sivarajah, U., Kamal, M.M., Irani, Z., Weerakkody, V., Critical analysis of Big Data challenges and analytical methods. Journal of Business Research 70 (2017), 263–286.
-
(2017)
Journal of Business Research
, vol.70
, pp. 263-286
-
-
Sivarajah, U.1
Kamal, M.M.2
Irani, Z.3
Weerakkody, V.4
-
168
-
-
85009227848
-
Toward integration of Big Data, technology and information systems competencies into the accounting curriculum
-
Sledgianowski, D., Gomaa, M., Tan, C., Toward integration of Big Data, technology and information systems competencies into the accounting curriculum. Journal of Accounting Education 38 (2017), 81–93.
-
(2017)
Journal of Accounting Education
, vol.38
, pp. 81-93
-
-
Sledgianowski, D.1
Gomaa, M.2
Tan, C.3
-
169
-
-
78650045524
-
A review of wind power and wind speed forecasting methods with different time horizons
-
Soman, S.S., Zareipour, H., Malik, O., Mandal, P., A review of wind power and wind speed forecasting methods with different time horizons. Proceedings of North American power symposium (NAPS), 2010, 1–8.
-
(2010)
Proceedings of North American power symposium (NAPS)
, pp. 1-8
-
-
Soman, S.S.1
Zareipour, H.2
Malik, O.3
Mandal, P.4
-
170
-
-
85048629078
-
-
Introduction to data visualization: history, concept, methods. Accessed 24 June 2017.
-
Song, H. (2014). Introduction to data visualization: history, concept, methods. https://www.slideshare.net/SookyoungSong/hci-tutorial0212?qid=d736cd0f-b704-4b4f-82ea-7dead9b04e9bandv=andb=andfrom_search=9/ Accessed 24 June 2017.
-
(2014)
-
-
Song, H.1
-
171
-
-
77952552963
-
OPELM and OPKNN in long-term prediction of time series using projected input data
-
Sovilj, D., Sorjamaa, A., Yu, Q., Miche, Y., Severin, E., OPELM and OPKNN in long-term prediction of time series using projected input data. Neurocomputing 73:10–12 (2010), 1976–1986.
-
(2010)
Neurocomputing
, vol.73
, Issue.10-12
, pp. 1976-1986
-
-
Sovilj, D.1
Sorjamaa, A.2
Yu, Q.3
Miche, Y.4
Severin, E.5
-
172
-
-
85048605506
-
-
Springer, Digital library. Accessed 30 Dec 2017.
-
Springer, Digital library. http://www.springerlink.com/ Accessed 30 Dec 2017.
-
-
-
-
173
-
-
84890018844
-
Leveraging big data analytics to reduce healthcare costs
-
Srinivasan, U., Arunasalam, B., Leveraging big data analytics to reduce healthcare costs. IT Professional 15:6 (2013), 21–28.
-
(2013)
IT Professional
, vol.15
, Issue.6
, pp. 21-28
-
-
Srinivasan, U.1
Arunasalam, B.2
-
174
-
-
0032373171
-
Market-based assets and shareholder value: A framework for analysis
-
Srivastava, R.K., Shervani, T.A., Fahey, L., Market-based assets and shareholder value: A framework for analysis. The Journal of Marketing 62:1 (1998), 2–18.
-
(1998)
The Journal of Marketing
, vol.62
, Issue.1
, pp. 2-18
-
-
Srivastava, R.K.1
Shervani, T.A.2
Fahey, L.3
-
175
-
-
84929506822
-
Scientific research: How many paradigms
-
Strawn, G.O., Scientific research: How many paradigms. Educause Review 47:3 (2012), 1–26.
-
(2012)
Educause Review
, vol.47
, Issue.3
, pp. 1-26
-
-
Strawn, G.O.1
-
176
-
-
84975736393
-
Towards a big data analytics framework for IoT and smart city applications
-
Strohbach, M., Ziekow, H., Gazis, V., Akiva, N., Towards a big data analytics framework for IoT and smart city applications. Modeling and processing for next-generation big-data technologies, 2015, 257–282.
-
(2015)
Modeling and processing for next-generation big-data technologies
, pp. 257-282
-
-
Strohbach, M.1
Ziekow, H.2
Gazis, V.3
Akiva, N.4
-
177
-
-
84929515623
-
Generalized optimal wavelet decomposing algorithm for big financial data
-
Sun, E.W., Chen, Y.T., Yu, M.T., Generalized optimal wavelet decomposing algorithm for big financial data. International Journal of Production Economics 165 (2015), 194–214.
-
(2015)
International Journal of Production Economics
, vol.165
, pp. 194-214
-
-
Sun, E.W.1
Chen, Y.T.2
Yu, M.T.3
-
178
-
-
84902529213
-
Big data classification: Problems and challenges in network intrusion prediction with machine learning
-
Suthaharan, S., Big data classification: Problems and challenges in network intrusion prediction with machine learning. ACM SIGMETRICS Performance Evaluation Review 41:4 (2014), 70–73.
-
(2014)
ACM SIGMETRICS Performance Evaluation Review
, vol.41
, Issue.4
, pp. 70-73
-
-
Suthaharan, S.1
-
179
-
-
84875723860
-
A Bee Colony based optimization approach for simultaneous job scheduling and data replication in grid environments
-
Taheri, J., Lee, Y.C., Zomaya, A.Y., Siegel, H.J., A Bee Colony based optimization approach for simultaneous job scheduling and data replication in grid environments. Computers & Operations Research 40:6 (2013), 1564–1578.
-
(2013)
Computers & Operations Research
, vol.40
, Issue.6
, pp. 1564-1578
-
-
Taheri, J.1
Lee, Y.C.2
Zomaya, A.Y.3
Siegel, H.J.4
-
180
-
-
85048611192
-
-
Tata Consultancy Services, (2013). The emerging big returns on big data: A TCS 2013 Global Trend Study. Accessed 03 April 2017.
-
Tata Consultancy Services, (2013). The emerging big returns on big data: A TCS 2013 Global Trend Study. http://www.tcs.com/SiteCollectionDocuments/Trends_Study/TCS-Big-Data-Global-Trend-Study-2013.pdf/ Accessed 03 April 2017.
-
-
-
-
181
-
-
85048631714
-
-
Tavana: Editorial decision analytics, 1:1. Accessed 20 Sep 2016.
-
Tavana: Editorial decision analytics, 2014, 1:1. http://www.decisionanalyticsjournal.com/1/1/1/ Accessed 20 Sep 2016.
-
(2014)
-
-
-
182
-
-
73849104985
-
An ensemble ELM based on modified AdaBoost. RT algorithm for predicting the temperature of molten steel in ladle furnace
-
Tian, H.X., Mao, Z.Z., An ensemble ELM based on modified AdaBoost. RT algorithm for predicting the temperature of molten steel in ladle furnace. IEEE Transactions on Automation Science and Engineering 7:1 (2010), 73–80.
-
(2010)
IEEE Transactions on Automation Science and Engineering
, vol.7
, Issue.1
, pp. 73-80
-
-
Tian, H.X.1
Mao, Z.Z.2
-
183
-
-
84995812077
-
Latency critical Big data computing in finance
-
Tian, X., Han, R., Wang, L., Lu, G., Zhan, J., Latency critical Big data computing in finance. The Journal of Finance and Data Science 1:1 (2015), 33–41.
-
(2015)
The Journal of Finance and Data Science
, vol.1
, Issue.1
, pp. 33-41
-
-
Tian, X.1
Han, R.2
Wang, L.3
Lu, G.4
Zhan, J.5
-
184
-
-
84946920504
-
Artificial neural networks in business: Two decades of research
-
Tkáč, M., Verner, R., Artificial neural networks in business: Two decades of research. Applied Soft Computing 38 (2016), 788–804.
-
(2016)
Applied Soft Computing
, vol.38
, pp. 788-804
-
-
Tkáč, M.1
Verner, R.2
-
186
-
-
85013880602
-
Big data analytics: A survey
-
Tsai, C.W., Lai, C.F., Chao, H.C., Vasilakos, A.V., Big data analytics: A survey. Journal of Big Data 2:1 (2015), 1–21.
-
(2015)
Journal of Big Data
, vol.2
, Issue.1
, pp. 1-21
-
-
Tsai, C.W.1
Lai, C.F.2
Chao, H.C.3
Vasilakos, A.V.4
-
187
-
-
85019770020
-
Big data issues in smart grid–A review
-
Tu, C., He, X., Shuai, Z., Jiang, F., Big data issues in smart grid–A review. Renewable and Sustainable Energy Reviews 79 (2017), 1099–1107.
-
(2017)
Renewable and Sustainable Energy Reviews
, vol.79
, pp. 1099-1107
-
-
Tu, C.1
He, X.2
Shuai, Z.3
Jiang, F.4
-
188
-
-
84975070005
-
Big data reduction framework for value creation in sustainable enterprises
-
urRehman, M.H., Chang, V., Batool, A., Wah, T.Y., Big data reduction framework for value creation in sustainable enterprises. International Journal of Information Management 36:6 (2016), 917–928.
-
(2016)
International Journal of Information Management
, vol.36
, Issue.6
, pp. 917-928
-
-
urRehman, M.H.1
Chang, V.2
Batool, A.3
Wah, T.Y.4
-
189
-
-
84943553776
-
Big data in accounting: An overview
-
Vasarhelyi, M.A., Kogan, A., Tuttle, B.M., Big data in accounting: An overview. Accounting Horizons 29:2 (2015), 381–396.
-
(2015)
Accounting Horizons
, vol.29
, Issue.2
, pp. 381-396
-
-
Vasarhelyi, M.A.1
Kogan, A.2
Tuttle, B.M.3
-
190
-
-
84979802684
-
Social set analysis: A set theoretical approach to big data analytics
-
Vatrapu, R., Mukkamala, R.R., Hussain, A., Flesch, B., Social set analysis: A set theoretical approach to big data analytics. IEEE Access 4 (2016), 2542–2571.
-
(2016)
IEEE Access
, vol.4
, pp. 2542-2571
-
-
Vatrapu, R.1
Mukkamala, R.R.2
Hussain, A.3
Flesch, B.4
-
191
-
-
84888346272
-
Semantic data mining of financial news articles
-
Springer
-
Vavpetic, A., Novak, P.K., Grcar, M., Mozetic, I., Lavrac, N., Semantic data mining of financial news articles. Proceedings of international conference on discovery science, 2013, Springer, 294–307.
-
(2013)
Proceedings of international conference on discovery science
, pp. 294-307
-
-
Vavpetic, A.1
Novak, P.K.2
Grcar, M.3
Mozetic, I.4
Lavrac, N.5
-
192
-
-
84966874267
-
Creating value with big data analytics: making smarter marketing decisions
-
Routledge Accessed 12 March 2017.
-
Verhoef, P.C., Kooge, E., Walk, N., Creating value with big data analytics: making smarter marketing decisions. 2016, Routledge http://aksitha.com/Big%20Data%20Technologies/Big%20Data/Creating%20Value%20with%20Big%20Data%20Analytics%20Making%20Smarter%20Marketing%20Decisions.pdf. Accessed 12 March 2017.
-
(2016)
-
-
Verhoef, P.C.1
Kooge, E.2
Walk, N.3
-
193
-
-
84869740480
-
Big data: What it is and why you should care
-
Accessed 12 March 2016
-
Villars, R.L., Olofson, C.W., Eastwood, M., Big data: What it is and why you should care. White Paper, IDC 14 (2011), 1–14 http://www.tracemyflows.com/uploads/big_data/idc_amd_big_data_whitepaper.pdf/ Accessed 12 March 2016.
-
(2011)
White Paper, IDC
, vol.14
, pp. 1-14
-
-
Villars, R.L.1
Olofson, C.W.2
Eastwood, M.3
-
194
-
-
85048636572
-
-
Vowal Wabbit, Big Data Software. Accessed 20 Nov 2017.
-
Vowal Wabbit, Big Data Software. https://en.wikipedia.org/wiki/Vowpal_Wabbit/ Accessed 20 Nov 2017.
-
-
-
-
195
-
-
84900796645
-
Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management
-
Waller, M.A., Fawcett, S.E., Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. Journal of Business Logistics 34:2 (2013), 77–84.
-
(2013)
Journal of Business Logistics
, vol.34
, Issue.2
, pp. 77-84
-
-
Waller, M.A.1
Fawcett, S.E.2
-
196
-
-
84929509763
-
How ‘big data'can make big impact: Findings from a systematic review and a longitudinal case study
-
Wamba, S.F., Akter, S., Edwards, A., Chopin, G., Gnanzou, D., How ‘big data'can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics 165 (2015), 234–246.
-
(2015)
International Journal of Production Economics
, vol.165
, pp. 234-246
-
-
Wamba, S.F.1
Akter, S.2
Edwards, A.3
Chopin, G.4
Gnanzou, D.5
-
197
-
-
84975781055
-
Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
-
Wang, Y., Kung, L., Byrd, T.A., Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change 126 (2016), 3–13.
-
(2016)
Technological Forecasting and Social Change
, vol.126
, pp. 3-13
-
-
Wang, Y.1
Kung, L.2
Byrd, T.A.3
-
198
-
-
84906043454
-
Applications of business analytics in healthcare
-
Ward, M.J., Marsolo, K.A., Froehle, C.M., Applications of business analytics in healthcare. Business horizons 57:5 (2014), 571–582.
-
(2014)
Business horizons
, vol.57
, Issue.5
, pp. 571-582
-
-
Ward, M.J.1
Marsolo, K.A.2
Froehle, C.M.3
-
199
-
-
84940426349
-
Disease prediction with different types of neural network classifiers
-
Weng, C.H., Huang, T.C.K., Han, R.P., Disease prediction with different types of neural network classifiers. Telematics and Informatics 33:2 (2016), 277–292.
-
(2016)
Telematics and Informatics
, vol.33
, Issue.2
, pp. 277-292
-
-
Weng, C.H.1
Huang, T.C.K.2
Han, R.P.3
-
200
-
-
85011824717
-
Big Data in smart farming–A review
-
Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.J., Big Data in smart farming–A review. Agricultural Systems 153 (2017), 69–80.
-
(2017)
Agricultural Systems
, vol.153
, pp. 69-80
-
-
Wolfert, S.1
Ge, L.2
Verdouw, C.3
Bogaardt, M.J.4
-
201
-
-
85048631063
-
Central America: big data in action for development
-
World Bank Washington, DC Accessed 04 March 2017
-
World Bank. Central America: big data in action for development. 2014, World Bank, Washington, DC https://openknowledge.worldbank.org/handle/10986/21325/ Accessed 04 March 2017.
-
(2014)
-
-
-
202
-
-
84975082821
-
-
Wu, C., Buyya, R., Ramamohanarao, K., Big Data analytics= machine learning+ cloud computing, 2016 https://arxiv.org/abs/1601.03115.
-
(2016)
Big Data analytics= machine learning+ cloud computing
-
-
Wu, C.1
Buyya, R.2
Ramamohanarao, K.3
-
203
-
-
84996802213
-
The promising future of healthcare services: When big data analytics meets wearable technology
-
Wu, J., Li, H., Cheng, S., Lin, Z., The promising future of healthcare services: When big data analytics meets wearable technology. Information & Management 53:8 (2016), 1020–1033.
-
(2016)
Information & Management
, vol.53
, Issue.8
, pp. 1020-1033
-
-
Wu, J.1
Li, H.2
Cheng, S.3
Lin, Z.4
-
204
-
-
85047804633
-
Research on big data technology-based agricultural information system
-
Atlantis Press
-
Xie, N.F., Zhang, X.F., Sun, W., Hao, X.N., Research on big data technology-based agricultural information system. International conference on computer information systems and industrial applications, 2015, Atlantis Press, 388–390.
-
(2015)
International conference on computer information systems and industrial applications
, pp. 388-390
-
-
Xie, N.F.1
Zhang, X.F.2
Sun, W.3
Hao, X.N.4
-
205
-
-
85010458423
-
Strategies and principles of distributed machine learning on big data
-
Xing, E.P., Ho, Q., Xie, P., Wei, D., Strategies and principles of distributed machine learning on big data. Engineering 2:2 (2016), 179–195.
-
(2016)
Engineering
, vol.2
, Issue.2
, pp. 179-195
-
-
Xing, E.P.1
Ho, Q.2
Xie, P.3
Wei, D.4
-
206
-
-
84976647715
-
The big data analytics and applications of the surveillance system using video structured description technology
-
Xu, Z., Mei, L., Hu, C., Liu, Y., The big data analytics and applications of the surveillance system using video structured description technology. Cluster Computing 19:3 (2016), 1283–1292.
-
(2016)
Cluster Computing
, vol.19
, Issue.3
, pp. 1283-1292
-
-
Xu, Z.1
Mei, L.2
Hu, C.3
Liu, Y.4
-
207
-
-
84902486966
-
Framework formation of financial data classification standard in the era of the big data
-
Yang, S., Zhong, Y., Liu, R., Feng, Z., Framework formation of financial data classification standard in the era of the big data. Procedia Computer Science 30 (2014), 88–96.
-
(2014)
Procedia Computer Science
, vol.30
, pp. 88-96
-
-
Yang, S.1
Zhong, Y.2
Liu, R.3
Feng, Z.4
-
208
-
-
84987937059
-
Big data: From beginning to future
-
Yaqoob, I., Hashem, I.A.T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N.B., et al. Big data: From beginning to future. International Journal of Information Management 36:6 (2016), 1231–1247.
-
(2016)
International Journal of Information Management
, vol.36
, Issue.6
, pp. 1231-1247
-
-
Yaqoob, I.1
Hashem, I.A.T.2
Gani, A.3
Mokhtar, S.4
Ahmed, E.5
Anuar, N.B.6
-
209
-
-
84908011088
-
Mobile big data analytics: Research, practice, and opportunities
-
IEEE
-
Yazti, D.Z., Krishnaswamy, S., Mobile big data analytics: Research, practice, and opportunities. Proceedings of IEEE 15th international conference on mobile data management (MDM), 1, 2014, IEEE, 1–2.
-
(2014)
Proceedings of IEEE 15th international conference on mobile data management (MDM)
, vol.1
, pp. 1-2
-
-
Yazti, D.Z.1
Krishnaswamy, S.2
-
210
-
-
84883162967
-
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
-
You, Z.H., Lei, Y.K., Zhu, L., Xia, J.F., Wang, B., Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinformatics 14 (2013), 1–11.
-
(2013)
BMC Bioinformatics
, vol.14
, pp. 1-11
-
-
You, Z.H.1
Lei, Y.K.2
Zhu, L.3
Xia, J.F.4
Wang, B.5
-
211
-
-
0034313673
-
Neural networks for classification: A survey
-
Part C (Applications and Reviews)
-
Zhang, G.P., Neural networks for classification: A survey. IEEE Transactions on Systems, Man, and Cybernetics 30:4 (2000), 451–462 Part C (Applications and Reviews).
-
(2000)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.30
, Issue.4
, pp. 451-462
-
-
Zhang, G.P.1
-
212
-
-
85048619849
-
Data quality, analytics, and privacy in big data
-
Springer Cham
-
Zhang, X., Xiang, S., Data quality, analytics, and privacy in big data. Big data in complex systems, 2015, Springer, Cham, 393–418.
-
(2015)
Big data in complex systems
, pp. 393-418
-
-
Zhang, X.1
Xiang, S.2
-
213
-
-
85020025572
-
A framework for Big Data driven product lifecycle management
-
Zhang, Y., Ren, S., Liu, Y., Sakao, T., Huisingh, D., A framework for Big Data driven product lifecycle management. Journal of Cleaner Production 159 (2017), 229–240.
-
(2017)
Journal of Cleaner Production
, vol.159
, pp. 229-240
-
-
Zhang, Y.1
Ren, S.2
Liu, Y.3
Sakao, T.4
Huisingh, D.5
-
214
-
-
84911458226
-
Quasi real-time summarization for consumer videos
-
IEEE
-
Zhao, B., Xing, E.P., Quasi real-time summarization for consumer videos. Proceedings of the IEEE conference on computer vision and pattern recognition, 2014, IEEE, 2513–2520.
-
(2014)
Proceedings of the IEEE conference on computer vision and pattern recognition
, pp. 2513-2520
-
-
Zhao, B.1
Xing, E.P.2
-
215
-
-
71749094178
-
Parallel k-means clustering based on mapreduce
-
IEEE
-
Zhao, W., Ma, H., He, Q., Parallel k-means clustering based on mapreduce. IEEE international conference on cloud computing, 2009, IEEE, 674–679.
-
(2009)
IEEE international conference on cloud computing
, pp. 674-679
-
-
Zhao, W.1
Ma, H.2
He, Q.3
-
216
-
-
84871089045
-
A model-based approach for RFID data stream cleansing
-
ACM
-
Zhao, Z., Ng, W., A model-based approach for RFID data stream cleansing. Proceedings of the 21st ACM international conference on information and knowledge management, 2012, ACM, 862–871.
-
(2012)
Proceedings of the 21st ACM international conference on information and knowledge management
, pp. 862-871
-
-
Zhao, Z.1
Ng, W.2
-
217
-
-
84949494790
-
Big data driven smart energy management: From big data to big insights
-
Zhou, K., Fu, C., Yang, S., Big data driven smart energy management: From big data to big insights. Renewable and Sustainable Energy Reviews 56 (2016), 215–225.
-
(2016)
Renewable and Sustainable Energy Reviews
, vol.56
, pp. 215-225
-
-
Zhou, K.1
Fu, C.2
Yang, S.3
-
218
-
-
85011371254
-
Machine learning on Big Data: Opportunities and challenges
-
Zhou, L., Pan, S., Wang, J., Vasilakos, A.V., Machine learning on Big Data: Opportunities and challenges. Neurocomputing 237 (2017), 350–361.
-
(2017)
Neurocomputing
, vol.237
, pp. 350-361
-
-
Zhou, L.1
Pan, S.2
Wang, J.3
Vasilakos, A.V.4
-
219
-
-
84866896733
-
Understanding big data: analytics for enterprise class hadoop and streaming data
-
McGraw-Hill Osborne Media
-
Zikopoulos, P., Eaton, C., Understanding big data: analytics for enterprise class hadoop and streaming data. 2011, McGraw-Hill Osborne Media.
-
(2011)
-
-
Zikopoulos, P.1
Eaton, C.2
-
220
-
-
0000616205
-
RNA secondary structures and their prediction
-
Zuker, M., Sankoff, D., RNA secondary structures and their prediction. Bulletin of mathematical biology 46:4 (1984), 591–621.
-
(1984)
Bulletin of mathematical biology
, vol.46
, Issue.4
, pp. 591-621
-
-
Zuker, M.1
Sankoff, D.2
|