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Reseach Article

Ensemble Decision Making System for Breast Cancer Data

by D. Lavanya, K. Usha Rani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 17
Year of Publication: 2012
Authors: D. Lavanya, K. Usha Rani
10.5120/8134-1823

D. Lavanya, K. Usha Rani . Ensemble Decision Making System for Breast Cancer Data. International Journal of Computer Applications. 51, 17 ( August 2012), 19-23. DOI=10.5120/8134-1823

@article{ 10.5120/8134-1823,
author = { D. Lavanya, K. Usha Rani },
title = { Ensemble Decision Making System for Breast Cancer Data },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 17 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number17/8134-1823/ },
doi = { 10.5120/8134-1823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:50:38.306584+05:30
%A D. Lavanya
%A K. Usha Rani
%T Ensemble Decision Making System for Breast Cancer Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 17
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Mining is a technique to extract the hidden knowledge of information. Among several data mining methods classification is especially useful in the field of medical diagnosis for decision making. In this study, a hybrid approach: CART decision tree classifier with feature selection and boosting ensemble method has been considered to evaluate the performance of classifier. Various Breast cancer data sets are considered for this study as breast cancer is one of the leading causes of death in women.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Classification Decision Trees Ensemble Systems Bagging Boosting Breast Cancer Datasets