Data Mining with Big Data using Hadoop Technology

Balachandra, Mamatha and Mathur, Yash (2017) Data Mining with Big Data using Hadoop Technology. In: International Conference on Computational Intelligency and Information Technology, 14/07/2017, Cochin , Kerala.

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Abstract

Big Data deals with 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. The Big Data challenges are broad in the case of accessing, storing, searching, sharing, and transfer. Managing Big Data is not easy by using traditional relational database management systems; it requires instead parallel computing of dataset. This work makes use of 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. In this work the challenging issues in the data-driven model and also in the Big Data revolution are analyzed

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