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K-Means Clustering of Cloud Data using Weka and R Language

by Banshidhar Choudhary, Vipin Saxena
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 49
Year of Publication: 2023
Authors: Banshidhar Choudhary, Vipin Saxena
10.5120/ijca2023922613

Banshidhar Choudhary, Vipin Saxena . K-Means Clustering of Cloud Data using Weka and R Language. International Journal of Computer Applications. 184, 49 ( Mar 2023), 33-39. DOI=10.5120/ijca2023922613

@article{ 10.5120/ijca2023922613,
author = { Banshidhar Choudhary, Vipin Saxena },
title = { K-Means Clustering of Cloud Data using Weka and R Language },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2023 },
volume = { 184 },
number = { 49 },
month = { Mar },
year = { 2023 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number49/32637-2023922613/ },
doi = { 10.5120/ijca2023922613 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:24:25.210530+05:30
%A Banshidhar Choudhary
%A Vipin Saxena
%T K-Means Clustering of Cloud Data using Weka and R Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 49
%P 33-39
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

From the literature, it is observed that the there is tremendous growth of cloud data which is increasing day by day in an exponential manner. The cloud data contains large files in the form of text, audio and video formats. Therefore, for optimizing the search timings for said files, there is a need of clustering of data. In the present work, K-means clustering is applied for the large data of banking sector and for this purpose, Weka and R language are used which give optimize results to search the desired information. Computed results are depicted through figures and tables.

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  30. 7. AUTHORS’ PROFILES
  31. Banshidhar Choudhary received Post Graduate Degree in Computer Applications (M.C.A.) from Dr. Indira Gandhi National Open University, New Delhi in 2002 and M.Phil. Degree from Madurai Kamraj University in 2007 and currently a research scholar in the Department of Computer Science, Babasaheb Bhimrao Ambedkar University. He has 15 years of teaching experience in Computer Science field in the various Indian Universities and 03 years in the Al-Jabal Al-Garbi University, Libya. Currently, he is solvi
  32. Prof. Vipin Saxena received his Ph.D. degree from Indian Institute of Technology, Roorkee, Uttarakhand, India. Presently, he is working as Professor in Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India. He has published more than 190 research articles in the International and National Journals and Conferences, authored 05 books in the field of Computer Science and Scientific Computing, attended 55 International and National Conferences and received three Natio
Index Terms

Computer Science
Information Sciences

Keywords

Cloud data File Formats Clustering K-Means Search Credit/Debit Cards.

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