메뉴 건너뛰기




Volumn , Issue , 2015, Pages 193-202

Integrating predictive analytics and social media

Author keywords

Feature Selection; Predictive Analytics; Social Media

Indexed keywords

FEATURE EXTRACTION; GRAPHICAL USER INTERFACES; MODEL BUILDINGS; MOTION PICTURES; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

EID: 84929494447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2014.7042495     Document Type: Conference Paper
Times cited : (51)

References (49)
  • 1
    • 84929500712 scopus 로고    scopus 로고
    • IMDb Database Statistics, 2014
    • IMDb Database Statistics, 2014. http://www.imdb.com/stats.
  • 2
    • 16244405902 scopus 로고    scopus 로고
    • A knowledge task-based framework for design and evaluation of information visualizations
    • IEEE
    • R. Amar and J. Stasko. A knowledge task-based framework for design and evaluation of information visualizations. In IEEE Symposium on Information Visualization, pages 143-150. IEEE, 2004.
    • (2004) IEEE Symposium on Information Visualization , pp. 143-150
    • Amar, R.1    Stasko, J.2
  • 5
    • 84881216617 scopus 로고    scopus 로고
    • Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction
    • Wiley Online Library
    • W. Berger, H. Piringer, P. Filzmoser, and E. Groller. Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction. In Computer Graphics Forum, volume 30, pages 911-920. Wiley Online Library, 2011.
    • (2011) Computer Graphics Forum , vol.30 , pp. 911-920
    • Berger, W.1    Piringer, H.2    Filzmoser, P.3    Groller, E.4
  • 10
    • 78650936017 scopus 로고    scopus 로고
    • Ivisclassifier: An interactive visual analytics system for classification based on supervised dimension reduction
    • IEEE
    • J. Choo, H. Lee, J. Kihm, and H. Park. ivisclassifier: An interactive visual analytics system for classification based on supervised dimension reduction. In IEEE Symposium on Visual Analytics Science and Technology, pages 27-34. IEEE, 2010.
    • (2010) IEEE Symposium on Visual Analytics Science and Technology , pp. 27-34
    • Choo, J.1    Lee, H.2    Kihm, J.3    Park, H.4
  • 11
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik. Support-vector networks. Machine learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 12
    • 79956040653 scopus 로고    scopus 로고
    • Towards detecting influenza epidemics by analyzing twitter messages
    • New York, NY, USA,. ACM
    • A. Culotta. Towards detecting influenza epidemics by analyzing twitter messages. In Proceedings of the First Workshop on Social Media Analytics, pages 115-122, New York, NY, USA, 2010. ACM.
    • (2010) Proceedings of the First Workshop on Social Media Analytics , pp. 115-122
    • Culotta, A.1
  • 15
    • 84859897031 scopus 로고    scopus 로고
    • Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact
    • G. Eysenbach. Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. Journal of medical Internet research, 13(4), 2011.
    • (2011) Journal of Medical Internet Research , vol.13 , Issue.4
    • Eysenbach, G.1
  • 19
    • 0041813144 scopus 로고    scopus 로고
    • Colorbrewer.org: An online tool for selecting colour schemes for maps
    • M. Harrower and C. A. Brewer. Colorbrewer. org: An online tool for selecting colour schemes for maps. The Cartographic Journal, 40(1):27-37, 2003.
    • (2003) The Cartographic Journal , vol.40 , Issue.1 , pp. 27-37
    • Harrower, M.1    Brewer, C.A.2
  • 22
    • 84929500714 scopus 로고    scopus 로고
    • Jersey Team. Jersey: Restful web services in java
    • Jersey Team. Jersey: Restful web services in java. https://jersey. java.net/, 2014.
  • 25
    • 84896056107 scopus 로고    scopus 로고
    • The parable of google flu: Traps in big data analysis
    • D. Lazer, R. Kennedy, G. King, and A. Vespignani. The parable of google flu: Traps in big data analysis. Science, 343(6176):1203-1205, 2014.
    • (2014) Science , vol.343 , Issue.6176 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 26
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • April
    • H. Liu and L. Yu. Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering, 17(4):491-502, April 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.4 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 33
    • 84893338534 scopus 로고    scopus 로고
    • The royal birth of 2013: Analysing and visualising public sentiment in the uk using twitter
    • IEEE
    • V. D. Nguyen, B. Varghese, and A. Barker. The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter. In IEEE International Conference on Big Data, pages 46-54. IEEE, 2013.
    • (2013) IEEE International Conference on Big Data , pp. 46-54
    • Nguyen, V.D.1    Varghese, B.2    Barker, A.3
  • 34
    • 4544264774 scopus 로고    scopus 로고
    • The delphi method as a research tool: An example, design considerations and applications
    • C. Okoli and S. D. Pawlowski. The delphi method as a research tool: an example, design considerations and applications. Information &Management, 42(1):15-29, 2004.
    • (2004) Information &Management , vol.42 , Issue.1 , pp. 15-29
    • Okoli, C.1    Pawlowski, S.D.2
  • 36
    • 84929500717 scopus 로고    scopus 로고
    • JMP 10 Modeling and Multivariate Methods
    • S. Publishing et al. JMP 10 Modeling and Multivariate Methods. SAS Institute, 2012.
    • (2012) SAS Institute
    • Publishing, S.1
  • 37
  • 38
    • 0000895370 scopus 로고    scopus 로고
    • The delphi technique as a forecasting tool: Issues and analysis
    • G. Rowe and G. Wright. The delphi technique as a forecasting tool: issues and analysis. International journal of forecasting, 15(4):353-375, 1999.
    • (1999) International Journal of Forecasting , vol.15 , Issue.4 , pp. 353-375
    • Rowe, G.1    Wright, G.2
  • 39
    • 84929500718 scopus 로고    scopus 로고
    • SAS Institute Inc. SAS/STAT Software, Version 9.3. Cary, NC, 2011
    • SAS Institute Inc. SAS/STAT Software, Version 9.3. Cary, NC, 2011.
  • 40
    • 16244396435 scopus 로고    scopus 로고
    • A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections
    • IEEE
    • J. Seo and B. Shneiderman. A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections. In IEEE Symposium on Information Visualization, pages 65-72. IEEE, 2004.
    • (2004) IEEE Symposium on Information Visualization , pp. 65-72
    • Seo, J.1    Shneiderman, B.2
  • 41
    • 0141936209 scopus 로고    scopus 로고
    • Predicting movie grosses: Winners and losers, blockbusters and sleepers
    • J. S. Simonoff and I. R. Sparrow. Predicting movie grosses: Winners and losers, blockbusters and sleepers. Chance, 13(3):15-24, 2000.
    • (2000) Chance , vol.13 , Issue.3 , pp. 15-24
    • Simonoff, J.S.1    Sparrow, I.R.2
  • 48
    • 84868517786 scopus 로고    scopus 로고
    • Predicting stock market indicators through twitter "I hope it is not as bad as i fear
    • X. Zhang, H. Fuehres, and P. A. Gloor. Predicting stock market indicators through twitter "I hope it is not as bad as I fear". Procedia-Social and Behavioral Sciences, 26:55-62, 2011.
    • (2011) Procedia-Social and Behavioral Sciences , vol.26 , pp. 55-62
    • Zhang, X.1    Fuehres, H.2    Gloor, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.