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.

PDF 803.pdf - Published Version Restricted to Registered users only Download (921kB) | Request a copy

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

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Big Data, Hace theorem, Data Mining, Hadoop , Data Base
Subjects:	Engineering > MIT Manipal > Computer Science and Engineering
Depositing User:	MIT Library
Date Deposited:	13 Sep 2017 08:35
Last Modified:	13 Sep 2017 08:35
URI:	http://eprints.manipal.edu/id/eprint/149681

Actions (login required)

View Item