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Comparative Clustering Approach Intended for Evaluating SaaS

by Dhanamma Jagli, Seema Purohit, N. Subhash Chandra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 8
Year of Publication: 2017
Authors: Dhanamma Jagli, Seema Purohit, N. Subhash Chandra
10.5120/ijca2017914679

Dhanamma Jagli, Seema Purohit, N. Subhash Chandra . Comparative Clustering Approach Intended for Evaluating SaaS. International Journal of Computer Applications. 169, 8 ( Jul 2017), 13-16. DOI=10.5120/ijca2017914679

@article{ 10.5120/ijca2017914679,
author = { Dhanamma Jagli, Seema Purohit, N. Subhash Chandra },
title = { Comparative Clustering Approach Intended for Evaluating SaaS },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 8 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number8/28003-2017914679/ },
doi = { 10.5120/ijca2017914679 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:49.970470+05:30
%A Dhanamma Jagli
%A Seema Purohit
%A N. Subhash Chandra
%T Comparative Clustering Approach Intended for Evaluating SaaS
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 8
%P 13-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Cloud computing is key computing and playing an important role to share many resources. The Software as a service (SaaS) service model is giving more benefits to the end user. Any user wants to use the software as a service, will not install any software locally rather they can access any application/software as assertive via the internet just by login to the system. For every service user, selecting the suitable one became a difficult task. Hence in this paper providing various data mining clustering algorithms and their comparison based AWS data sets collected. The goal of this research is to provide a decision-making system with optimal solutions to cloud service users and providers to select/provide potential software services and afford according to specified requirements quickly and easily.

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Index Terms

Computer Science
Information Sciences

Keywords

SaaS K-means Clustering Hierarchical Clustering BiCluster Cloud Computing

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