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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

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IJCA Proceedings on International Conference on Computing, Communication and Sensor Network
© 2015 by IJCA Journal
CCSN 2014 - Number 1
Year of Publication: 2015
Authors:
Bapuji Rao
Anirban Mitra

Bapuji Rao and Anirban Mitra. Article: An Approach of Mining Big Data from a Very Large Community Graph for Analyzing of Economic Standard of Communities using Distributed Mining Techniques. IJCA Proceedings on International Conference on Computing, Communication and Sensor Network CCSN 2014(1):21-26, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Bapuji Rao and Anirban Mitra},
	title = {Article: An Approach of Mining Big Data from a Very Large Community Graph for Analyzing of Economic Standard of Communities using Distributed Mining Techniques},
	journal = {IJCA Proceedings on International Conference on Computing, Communication and Sensor Network},
	year = {2015},
	volume = {CCSN 2014},
	number = {1},
	pages = {21-26},
	month = {June},
	note = {Full text available}
}

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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