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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.
References
- Sushmita Mitra and Pabitra Mitra,"Data Mining in Soft Computing Framework: A Survey", IEEE Transactions on Neural Networks, Vol 13, No 1, January 2002.
- The Data Mining Process (online) available: http://publib. boulder. ibm. com/infocenter/db2/uw/v9/index. jsp?topic=/com. ibm. im. easy. doc/c_dm_process. html * Values are from our previous work
- .
- T. M. Mitchell, "Machine learning and Data Mining", Commun. ACM, vol. 42, no, 11, 1999.
- J. Han and M. Kamber, "Data Mining; Concepts and Techniques", Morgan Kaufmann Publishers, 2001.
- My Chau Tu, Dongil Shin and Dongkyoo Shin ,"Effective Diagnosis of Heart Disease through Bagging Approach", 2nd International Conference on Biomedical Engineering and Informatics, 2009.
- My Chau Tu, Dongil Shin and Dongkyoo Shin, "A Comparative Study of Medical Data Classification Methods Based on Decision Tree and Bagging Algorithms" Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, 2009.
- Tsirogiannis G. L, Frossyniotis D, Stoitsis J, Golemati S, Stafylopatis A , Nikita,K. S, "Classification of Medical Data with a Robust Multi-Level Combination scheme", IEEE international joint Conference on Neural Networks, 2004.
- Pan Wen, "Application of decision tree to identify a abnormal high frequency Electro-cardiograph", China National Knowledge Infrastructure Journal, 2000.
- Kaewchinporn . C, Vongsuchoto. N and Srisawat. A, " A Combination of Decision Tree Learning and Clustering for Data Classification", 2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE).
- Jinyan LiHuiqing Liu, See-Kiong Ng and Limsoon Wong," Discovery of Signi?cant Rules for Classifying Cancer Diagnosis Data", Bioinformatics 19(Suppl. 2) Oxford University Press 2003.
- Dong-Sheng Cao, Qing-Song Xu ,Yi-Zeng Liang and Xian Chen, "Automatic feature subset selection for decision tree-based ensemble methods in the prediction of bioactivity", Chemo metrics and Intelligent Laboratory Systems,2010.
- Liu Ya-Qin, Wang Cheng and Zhang Lu," Decision Tree Based Predictive Models for Breast Cancer Survivability on Imbalanced Data", 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009.
- Tan AC, and Gilbert D, "Ensemble Machine Learning on Gene Expression Data for Cancer Classification", Appl Bioinformatics. 2003;2(3 Suppl):S75-83.
- CaiLing Dong, YiLong Yin and XiuKun Yang, "Detecting Malignant Patients via Modified Boosted tree", Science China Information Sciences, 2010.
- Jaree Thangkam Guandong Xu, Yanchun Zang and Fuchun Huang,"HDKM'08 Proceedings of the second Australian workshop on Health data and Knowledge Management, Vol 80.
- S. B. Kotsiantis and P. E. Pintelas,"Combining Bagging and Boosting", International Journal of Information and Mathematical Sciences, 1:4 2005.
- J. R. Quinlan,"Bagging,Boosting and C4. 5", In Proceedings Fourteenth National Conference on Artificial ISntelligence",1994.
- J. Han and M. Kamber, "Data Mining; Concepts and Techniques", Morgan Kaufmann Publishers, 2000.
- Robi Polikar, "Ensemble Based Systems in Decision Making", IEEE Circuits and Systems Magazine, 2006.
- L. Breiman, "Bagging predictors, Machine Learning", 26, 1996, 123-140.
- Y. Freund and R. E. Schapire, "Decision-theoretic Generalization of Online Learning and an Application to Boosting", Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119-139, 1997.
- UCIrvine Machine Learning Repository www. ics. uci. edu/~mlearn/ MLRepository. html. D. Lavanya, Dr. K. Usha Rani, "Performance Evaluation of Decision Tree Classifiers on Medical Datasets". International Journal of Computer Applications 26(4):1-4, July 2011.
- D. Lavanya, Dr. K. Usha Rani," Analysis of feature selection with classification: Breast cancer datasets", Indian Journal of Computer Science and Engineering (IJCSE), October 2011.
- . Lavanya, Dr. K. Usha Rani," Ensemble decision tree classifier for Breast Cancer data", International journal of Information Technology Convergence and Services (IJITCS) Vol. 2, No. 1, February 2012.
- Clifton D. Sutton, "Classification and Regression Trees, Bagging and Boosting", Handbook of Statistics, vol. 24, 2005.
Index Terms
Computer Science
Information Sciences
Keywords