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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary

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Review on Data Mining Techniques with Big Data

M.Tech (CSE), Priyadrshini Institute of Technology & Management
AssociateProfessor (Dept.of CSE), Priyadrshini Institute of Technology & Management

The term Big Data comprises large- volume, 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 demand- driven 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.

TEMPALLI NARENDRA BABU,R.MADHURI DEVI."Review on Data Mining Techniques with Big Data". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 12,pp.1147-1152, December- 2015, URL :,

Keywords : HACE,Hadoop,Big Data, heterogeneity, autonomous sources, complex and evolving associations

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