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Data Mining Challenges with Big Data


Affiliations
1 Department of CSE, Dr. M.G.R Educational & Research Institute, Chennai, TN, India
     

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Big Data involves huge quantity of growing data sets with manifold independent sources. Through the fast development of networking, data storage, and the data collection capacity. Big Data are now quickly expanding in all science and engineering domains, as well as physical, biological and biomedical sciences. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modelling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Keywords

Big Data, Data Mining, KDD.
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  • Data Mining Challenges with Big Data

Abstract Views: 229  |  PDF Views: 4

Authors

N. Kanya
Department of CSE, Dr. M.G.R Educational & Research Institute, Chennai, TN, India
S. Geetha
Department of CSE, Dr. M.G.R Educational & Research Institute, Chennai, TN, India
D. Syed Ali
Department of CSE, Dr. M.G.R Educational & Research Institute, Chennai, TN, India

Abstract


Big Data involves huge quantity of growing data sets with manifold independent sources. Through the fast development of networking, data storage, and the data collection capacity. Big Data are now quickly expanding in all science and engineering domains, as well as physical, biological and biomedical sciences. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modelling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Keywords


Big Data, Data Mining, KDD.