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Reseach Article

Data Mining - Techniques, Methods and Algorithms: A Review on Tools and their Validity

by Mansi Gera, Shivani Goel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 18
Year of Publication: 2015
Authors: Mansi Gera, Shivani Goel
10.5120/19926-2042

Mansi Gera, Shivani Goel . Data Mining - Techniques, Methods and Algorithms: A Review on Tools and their Validity. International Journal of Computer Applications. 113, 18 ( March 2015), 22-29. DOI=10.5120/19926-2042

@article{ 10.5120/19926-2042,
author = { Mansi Gera, Shivani Goel },
title = { Data Mining - Techniques, Methods and Algorithms: A Review on Tools and their Validity },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 18 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number18/19926-2042/ },
doi = { 10.5120/19926-2042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:15.633134+05:30
%A Mansi Gera
%A Shivani Goel
%T Data Mining - Techniques, Methods and Algorithms: A Review on Tools and their Validity
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 18
%P 22-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining is the process of extracting the useful data, patterns and trends from a large amount of data by using techniques like clustering, classification, association and regression. There are a wide variety of applications in real life. Various tools are available which supports different algorithms. A summary about data mining tools available and the supporting algorithms is the objective of this paper. Comparison between various tools has also been done to enable the users use various tools according to their requirements and applications. Different validation indices for the validation are also summarized.

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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Algorithms Clustering