Research Article
Comparative Clustering Approach Intended for Evaluating SaaS
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 169 - Issue 8 |
| Published: Jul 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 },
year = { 2017 },
volume = { 169 },
number = { 8 },
pages = { 13-16 },
doi = { 10.5120/ijca2017914679 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Dhanamma Jagli
%A Seema Purohit
%A N. Subhash Chandra
%T Comparative Clustering Approach Intended for Evaluating SaaS%T
%J International Journal of Computer Applications
%V 169
%N 8
%P 13-16
%R 10.5120/ijca2017914679
%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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