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Location based Clustering of Cloud Datasets for Forensic Analysis

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IJCA Proceedings on National Conference on Innovative Paradigms in Engineering & Technology 2013
© 2013 by IJCA Journal
NCIPET2013 - Number 4
Year of Publication: 2013
Authors:
Asmita Ballal
Sulabha Patil
Sulabha Patil

Asmita Ballal, Sulabha Patil and Sulabha Patil. Article: Location Based Clustering of Cloud Datasets for Forensic Analysis. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering & Technology 2013 NCIPET 2013(4):19-20, December 2013. Full text available. BibTeX

@article{key:article,
	author = {Asmita Ballal and Sulabha Patil and Sulabha Patil},
	title = {Article: Location Based Clustering of Cloud Datasets for Forensic Analysis},
	journal = {IJCA Proceedings on National Conference on Innovative Paradigms in Engineering & Technology 2013},
	year = {2013},
	volume = {NCIPET 2013},
	number = {4},
	pages = {19-20},
	month = {December},
	note = {Full text available}
}

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.

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