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Design of a Smart Application using Big Data
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 Title & Authors
Design of a Smart Application using Big Data
Oh, Sun-Jin;
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With the rapid growth of Information technology and up-to-date wireless network application technologies, huge and various types of data are produced in every moment, the value and significance of the analysis techniques using big data are increased recently. Big data, which were useless since they were too huge to manage in the past, enables us to get new inspirations and values in various practical application areas through the development of big data computing devices and analytic tools. Nowadays, however, it is true that most of the big data are still wasted without properly analyzed and used. In the long run, the preliminary stipulations for finding inspirations and extracting new values from big data are securing big data analysis and application techniques to process big data efficiently. In this paper, we study accurate data analysis techniques and data process technologies those are able to extract needed inspirations and values from big data efficiently, then design the smart application that adopts these techniques practically.
Data Analytic Technique;Big Data;Smart Application;
 Cited by
John Gantz, David Reinsel, "The Digital Universe 2020: Big data, Bigger Digital Shadows, and Biggest Growth in the Far East," IDCIVIEW, pp. 1-16, 2012.

S. Kim et. al., "A Big Data Application for Anomaly Detection in VANETs," JIIBC, Vol. 14, No. 6, pp. 175-181, 2014. crossref(new window)

Gartner, "High-Tech Tuesday Webinar; Big Data Oppourtunities in Vertical Industries," Gartner Big Data Analytics, 2012.

McKinsey, "Big data: The next frontier for innovation, competition, and productivity," Mckinsey Global Institute, 2011.

H. Y. Yang, "Technology Planning Methodology using Big Data," KISTEP, Vol. 12, pp. 3-33, 2012.

Christian Bizer, "The Meaningful Use of Big Data: Four Perspectives-Four Challenges," SIGMOD Record, Vol. 40, No. 4, pp. 56-60, 2011.

M. Y. Lee, "Big Data Technology Trends for Big Data Analysis," J. of Information Processing Systems, Vol. 19, No. 2, pp. 20-28, 2012.

H. Wickham, "The Split-Apply-Combine Strategy for Big Data Analysis," Journal of Statistical Software, Vol. 40, No. 1, pp. 1-29, 2011.

M. Spiliopoulou, "Web Usage Mining for Web site Evaluation," Communication of the ACM, Vol. 43, No. 8, pp. 127-134, 2000. crossref(new window)

K. M. Park, H. Park, H. G. Kim, H. Ko, "Review Mining using Lexical Knowledge and Modality Analysis," Proceedings of the 5th International Universal Communication Symposium, 2011.

S. S. Kim et. al., "Neuro-Fuzzy Modeling using Hierarchical Clustering & Gaussian Mixture Model," J. of Fuzzy Logic & Intelligent Systems, Vol 13, No. 5, pp. 512-519, 2003.

D. W. Choi et. al., "Smartphone based Bio Cognition Data Mining Algorithm," Proceedings of 2010 Conference in KOEN, pp. 155-158, 2010.

X. Y. Yang, Z. Liu, Y. Fu, "MapReduce as a Programming Model for Association Rules Algorithm on Hadoop," Proceeding of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS), pp. 99-102, 2010.

K. Lee et. al., "Semantic Social Network Analysis," J. of Information Processing Systems, Vol. 18, No. 6, pp. 54-67, 2011.

F. Gordon, O. Corby, M. Buffa, "Semantic Social Network Analysis," Proceeding of WebSci'09, Society On-line, 2009.