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Reseach Article

Article:Evaluation of Attribute Selection Methods with Tree based Supervised Classification-A Case Study with Mammogram Images

by M.Vasantha, Dr.V.Subbiah Bharathy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 12
Year of Publication: 2010
Authors: M.Vasantha, Dr.V.Subbiah Bharathy
10.5120/1254-1746

M.Vasantha, Dr.V.Subbiah Bharathy . Article:Evaluation of Attribute Selection Methods with Tree based Supervised Classification-A Case Study with Mammogram Images. International Journal of Computer Applications. 8, 12 ( October 2010), 35-38. DOI=10.5120/1254-1746

@article{ 10.5120/1254-1746,
author = { M.Vasantha, Dr.V.Subbiah Bharathy },
title = { Article:Evaluation of Attribute Selection Methods with Tree based Supervised Classification-A Case Study with Mammogram Images },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 12 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number12/1254-1746/ },
doi = { 10.5120/1254-1746 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:57:13.975425+05:30
%A M.Vasantha
%A Dr.V.Subbiah Bharathy
%T Article:Evaluation of Attribute Selection Methods with Tree based Supervised Classification-A Case Study with Mammogram Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 12
%P 35-38
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Attribute selection is generally considered as a challenging work in the development of image data mining oriented applications. Attribute subset selection is mainly an optimization problem, which involves searching the space of possible feature subsets to select the one that is optimal or nearly optimal with respect to the performance measures accuracy, complexity etc., of the application. This paper presents a comparative evaluation of several attribute selection methods based on the performance accuracy of different tree based supervised classification for mammogram images of MIAS database.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Attribute selection Feature subsets mammogram images