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An Approach of Mining Big Data from a Very Large Community Graph for Analyzing of Economic Standard of Communities using Distributed Mining Techniques
| International Conference on Computing, Communication and Sensor Network |
| Foundation of Computer Science USA |
| CCSN2014 - Number 1 |
| June 2015 |
| Authors: Bapuji Rao, Anirban Mitra |
| 9c0f5a7d-ae70-433c-9715-ba6148941b56 |
Bapuji Rao, Anirban Mitra . An Approach of Mining Big Data from a Very Large Community Graph for Analyzing of Economic Standard of Communities using Distributed Mining Techniques. International Conference on Computing, Communication and Sensor Network. CCSN2014, 1 (June 2015), 21-26.
Abstract
This paper gives an overview on the fundamental concepts of big data and its characteristics. We have discussed on the issues related to Graph Analytics for Big Data. Basic definitions are presented in order to describe the big data environments using the notation of Graph theory. Two cases, the first one includes the information and relation with in the film and movie industry and the second one is the web structure and relationship (crawling) between different web sites has been elaborated in this direction. The paper concludes with our observation on the proposed model followed by a case analysis on applications of big data in social media.
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