A review of Data Mining Techniques Using in Big Data
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2015, Vol 3, Issue 8
Abstract
The term Big Data comprises largevolume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demanddriven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
Authors and Affiliations
Venkata Madhavi . Vinnakota| M.Tech (CSE), NRI Institute of Technology, A.P., India, Chinta. Venkata Murali Krishna| Associate Professor, Dept. of Computer Science & Engineering, NRI Institute of Technology, A.P., India
Keywords
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