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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

Published on June 2015 by Bapuji Rao, Anirban Mitra
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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.

@article{
author = { Bapuji Rao, Anirban Mitra },
title = { An Approach of Mining Big Data from a Very Large Community Graph for Analyzing of Economic Standard of Communities using Distributed Mining Techniques },
journal = { International Conference on Computing, Communication and Sensor Network },
issue_date = { June 2015 },
volume = { CCSN2014 },
number = { 1 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 21-26 },
numpages = 6,
url = { /proceedings/ccsn2014/number1/21419-5015/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing, Communication and Sensor Network
%A Bapuji Rao
%A Anirban Mitra
%T An Approach of Mining Big Data from a Very Large Community Graph for Analyzing of Economic Standard of Communities using Distributed Mining Techniques
%J International Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN2014
%N 1
%P 21-26
%D 2015
%I International Journal of Computer Applications
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.

References
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  10. Rao, Bapuji and Mitra, A. A New Approach for Detection of Common Communities in a Social Network using Graph Mining Techniques. 2014 IEEE International Conference on High Performance Computing & Application (IEEE-ICHPCA-2014), Bhubaneswar, India, Dec 22-24, 2014. (Available at http://ieeexplore. ieee. org/xpl/mostRecentIssue. jsp?punumber=7032933)
  11. Rao, Bapuji, Mitra, A and Narayana, U. An approach to study properties and behavior of Social Network using Graph Mining Techniques. In proceedings of DIGNATE::ETEECT 2014, New Delhi, India, Oct, 2014.
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Big Data Dataset Community Distributed Database.