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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 2, ISSUE 12, DECEMBER 2015

DATA MINING FOR BUSINESS INTELLIGENCE IN SOCIAL NETWORK: A SURVEY

Mrs. Smita Bhanap, Dr. Seema Kawthekar

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Abstract: In the era of digital world, due to the revolution in the field of Information and Communication Technology, Social Networks are providing an accessible platform for users to share and use information in almost all sectors of the society. As a result of this , pervasive usage of social network generates huge amount of social data. Mining this social data has its potential to extract actionable patterns, behave ors which are beneficial business organizations and customers. Different mining tools and techniques can be used to achieve better decision making in the field of Electronic Business Intelligence. This paper reviews basics of Data Mining, Social Network Analysis and its applications in Business Intelligence with data mining techniques and suggest how this survey and study of the data mining approaches can benefit the importance of social network analysis and mining for business intelligence.

Keywords: social network, social data, business intelligence, data mining, data mining techniques.

How to Cite:

[1] Mrs. Smita Bhanap, Dr. Seema Kawthekar, “DATA MINING FOR BUSINESS INTELLIGENCE IN SOCIAL NETWORK: A SURVEY,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2015.21223

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.