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Reseach Article

Study of Data Mining Algorithms in the Context of Performance Enhancement of Classification

by Aditi Goel, Saurabh Kr. Srivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 9
Year of Publication: 2016
Authors: Aditi Goel, Saurabh Kr. Srivastava
10.5120/ijca2016907963

Aditi Goel, Saurabh Kr. Srivastava . Study of Data Mining Algorithms in the Context of Performance Enhancement of Classification. International Journal of Computer Applications. 134, 9 ( January 2016), 1-5. DOI=10.5120/ijca2016907963

@article{ 10.5120/ijca2016907963,
author = { Aditi Goel, Saurabh Kr. Srivastava },
title = { Study of Data Mining Algorithms in the Context of Performance Enhancement of Classification },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 9 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number9/23939-2016907963/ },
doi = { 10.5120/ijca2016907963 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:41.878755+05:30
%A Aditi Goel
%A Saurabh Kr. Srivastava
%T Study of Data Mining Algorithms in the Context of Performance Enhancement of Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 9
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining can help researchers to gain novel and deep insights for understanding of large datasets. Nowadays, people are using data mining algorithms in different contexts like banking, hospitals, marketing etc. Classification algorithm plays a vital role. In the study, we found that SVM is the best classifier amongst all the classifiers. Here we used learning algorithms with the historical dataset to train the classifier and the test samples are used to validate the correctness of the classifier. We might have structured semi-structured and unstructured datasets which are used for classification. We have performed the study of reputed literatures that belong to classification area to identify some new enhancements in the classifiers. A few most important classifiers are SVM, decision tree, neural network, Naive Bayes. We found most of the literatures were concentrated on SVM classifier so we targeted SVM classifier for the performance enhancement. SVM are important tool in data-mining to classify data. The aim of this review is to identify the effectiveness of kernel parameters for classification of data using Support Vector.

References
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Index Terms

Computer Science
Information Sciences

Keywords

SVM data mining classification algorithm Naive Bayes accuracy.