Towards a user-friendly loading system for the analysis of big data in the internet of things

Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014

Volumn , Issue , 2014, Pages 312-317

  Mesiti, Marco ^a   Valtolina, Stefano ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

data loader; data preparation for analysis; NoSQL

Indexed keywords

APPLICATION PROGRAMS; BIG DATA; INTERNET; INTERNET OF THINGS; LOADERS; SPECIFICATIONS;

CONCEPTUAL SCHEMAS; DATA LOADERS; DATA PREPARATION; HETEROGENEOUS SOURCES; INTELLIGENT STRATEGIES; INTERNET OF THING (IOT); NOSQL; RESEARCH COMMUNITIES;

LOADING;

EID: 84931049511     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSACW.2014.55     Document Type: Conference Paper

References (23)

1. R. Cattell "Scalable sql and nosql data stores " SIGMOD Record, vol. 39, no. 4, pp. 12-27, 2010.
2. O. Cur et al., Data integration over nosql stores using access path based mappings in DEXA, Springer, 2011, vol. 6860, pp. 481-495.
3. J. Dean and S. Ghemawat "Mapreduce: Simplified data processing on large clusters Commun. ACM, vol. 51, no. 1, pp. 107-113, Jan. 2008.
4. S. Chalmers, C. Bothorel and R. Picot Clemente "Big Data-State of the Art " LUSSI-Dépt. Logique des Usages, Sc iences Sociales et de l'Information, Tech. Rep., october 2013.
5. Y. D. Cai, R. Aydt and R. J. Brunner "Optimized data loading for a multi-terabyte sky survey repository " in Proc. of ACM/IEEE Conference on Supercomputing, IEEE Computer Society, 2005, pp. 42-.
6. S. Amer-Yahia and S. Cluet "A declarative approach to optimize bulk loading into databases " ACM TODS, 29(2): 233-281, 2004 .
7. Y. Wang, A. Song and J. Luo "A mapreducemerge-based data cube construction method in 9th Int'l Conf. on Grid and Cooperative Computing (GCC), 2010, pp. 1-6.
8. P. Vassiliadis and A. Simitsis "Extraction, transformation, and loading in Encyclopedia of Database Systems, Springer, 2009, pp. 1095-1101.
9. J. Schindler I/o characteristics of nosql databases Proc. VLDB Endow. 5 12 2020-2021, 2012.
10. A. Doan, A. Y. Halevy and Z. G. Ives, Principles of Data Integration. Morgan Kaufmann, 2012
11. Z. Bellahsene, A. Bonifati and E. Rahm, Eds., Schema Matching and Mapping. Springer, 2011.
12. N. Tatbul "Streaming data integration: Challenges and opportunities " in ICDE Workshops Proceedings, 2010, pp. 155-158.
13. M. Liu, et al. "Smartcis: integrating digital and physical environments SIGMOD Record, vol. 39, no. 1, pp. 48-53, 2010.
14. C. Olston, B. Reed, U. Srivastava, R. Kumar, and A. Tomkins, Pig latin: a not-so-foreign language for data processing in Proc. ACM Int'l Conf. on Management of Data, SIGMOD, 2008, pp. 1099-1110.
15. S. Mohanty, M. Jagadeesh and H. Srivatsa Extracting value from big data: In-memory solutions, real time analytics, and recommendation systems in Big Data Imperatives. Apress, 2013, pp. 221-250.
16. T. Ye, D. Bickson and Q. Yuan "First workshop on large-scale recommender systems: Research and best practice (lsrs 2013) in Proc. of ACM Conf. on Recommender Systems, RecSys, 2013, pp. 487-488.
17. X. Su and T. M. Khoshgoftaar "A survey of collaborative filtering techniques " Adv. in Artif. Intell., vol. 2009, pp. 4:2-4:2, Jan. 2009.
18. D. Fisher, R. DeLine, M. Czerwinski, and S. M. Drucker, Interactions with big data analytics Interactions, vol. 19, no. 3, pp. 50-59, 2012.
19. A. Holzinger Interacting with information challenges in humancomputer interaction and information retrieval in IADIS Multi Conference on Computer Science and Information Systems 2011, 2011.
20. N. Dindar, et al. "Mod eling the execution semantics of stream processing engines with secret VLDB J., 22(4):421-446, 2013.
21. D. J. Abadi, et al. "The design of the borealis stream processing engine " in Proc. of 2nd Biennial Conf. on Innovative Data Systems Research (CIDR), 2005, pp. 277-289.
22. D. Billsus and M. J. Pazzani "Learning collaborative information filters " in Proc. of the 15th International Confer ence on Machine Learning, 1998, pp. 46-54.
23. J. He and W. W. Chu "A social network-based recommender system (snrs) in Data Mining for Social Network Data, Annals of Information Systems, Springer, 2010, vol. 12, pp. 47-74.