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Location Based Clustering of Cloud Datasets for Forensic Analysis

Published on December 2013 by Asmita Ballal, Sulabha Patil, Sulabha Patil
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National Conference on Innovative Paradigms in Engineering & Technology 2013
Foundation of Computer Science USA
NCIPET2013 - Number 4
December 2013
Authors: Asmita Ballal, Sulabha Patil, Sulabha Patil
d6a2012e-d8d0-454d-9fc5-c2e059f9f4f4

Asmita Ballal, Sulabha Patil, Sulabha Patil . Location Based Clustering of Cloud Datasets for Forensic Analysis. National Conference on Innovative Paradigms in Engineering & Technology 2013. NCIPET2013, 4 (December 2013), 19-20.

@article{
author = { Asmita Ballal, Sulabha Patil, Sulabha Patil },
title = { Location Based Clustering of Cloud Datasets for Forensic Analysis },
journal = { National Conference on Innovative Paradigms in Engineering & Technology 2013 },
issue_date = { December 2013 },
volume = { NCIPET2013 },
number = { 4 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 19-20 },
numpages = 2,
url = { /proceedings/ncipet2013/number4/14720-1357/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovative Paradigms in Engineering & Technology 2013
%A Asmita Ballal
%A Sulabha Patil
%A Sulabha Patil
%T Location Based Clustering of Cloud Datasets for Forensic Analysis
%J National Conference on Innovative Paradigms in Engineering & Technology 2013
%@ 0975-8887
%V NCIPET2013
%N 4
%P 19-20
%D 2013
%I International Journal of Computer Applications
Abstract

Cloud environment is offering different services to the users and more and more companies are working to tap the benefits being provided by this environment. Data mining algorithms are proven algorithms to find hidden useful information from large database. K-Means clustering algorithm is one of the very popular and high performance clustering algorithms. The main aim of this work is to implement and deploy K-Means algorithm in Google Cloud using Google App Engine with Cloud SQL.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Cloud Sql Cluster Dataset Google App Engine