@incollection{,
	
					
					
					2C6E50A254917E1C0222F9B052227C76
				,
	author={{Dr. R.Parimala} and {Dr. R.Parimala} and {National Institute of Technology, Tiruchirappalli}},
	journal={{Global Journal of Computer Science and Technology}},
	journal={{GJCST}}0975-41720975-435010.34257/gjcst,
	address={Cambridge, United States},
	publisher={Global Journals Organisation}1174554
}

@book{b0,
	
	
		,
	author={{
			MAHall
		} and {
			LASmith
		}}
		
		,
	title={{Feature Subset Selection: A Correlation Based Filter Approach, International Conference on Neural Information Processing and Intelligent Information Systems}}
				
			,
	publisher={Springer}
			,
	year={1997}
			
		
	

}

@incollection{b1,
	
	
		,
	title={{The feature selection problem: Traditional methods and a new algorithm}}
		,
	author={{
			KKira
		} and {
			LARendell
		}}
		
	
	
		,
	booktitle={{Proceedings of the AAAI-92}}
				the AAAI-92
		
			,
	publisher={AAAI Press}
			,
	year={1992}
			
		
	

}

@incollection{b2,
	
	
		,
	title={{A practical approach to feature selection}}
		,
	author={{
			KKira
		} and {
			LARendell
		}}
		
	
	
		,
	booktitle={{The 9th International Conference on Machine Learning}}
				
			,
	publisher={Morgan Kaufmann}
			,
	year={1992}
			
		
	

}

@incollection{b3,
	
	
		,
	title={{Irrelevant features and the subset selection problem}}
		,
	author={{
			GHJohn
		} and {
			RKohavi
		} and {
			KPflegger
		}}
		
		
	
	
		,
	booktitle={{Machine learning: Proceedings of the Eleventh International Conference}}
				
			,
	publisher={Morgan Kaufmann}
			,
	year={1994}
			
		
	

}

@incollection{b4,
	
	
		,
	title={{A Bayesian approach to filtering junk e-mail. Learning for Text Categorization}}
		,
	author={{
			MSahami
		} and {
			SDumais
		} and {
			DHeckerman
		} and {
			EHorvitz
		}}
		
		
		
		WS-98-05
	
	
		,
	booktitle={{Papers from the AAAI Workshop}}
				Madison Wisconsin
		
			,
	publisher={AAAI}
			,
	year={1998}
			
		
	
	,
	note={Technical Report}

}

@incollection{b5,
	
	
		,
	title={{CHI Square Feature Extraction Based SVMs Arabic Language Text Categorization System}}
		,
	author={{
			AMMesleh
		}}
	
	
		,
	booktitle={{Proceedings of the 2 nd International Conference on Software and Data Technologies}}
				the 2 nd International Conference on Software and Data TechnologiesBarcelona, Spain
		
			,
	year={July, 22-25, 2007}
			1
			
		
	
	,
	note={Knowledge Engineering}

}

@book{b6,
	
	
		,
	title={{Theory of Psychological Measure_ment}}
		,
	author={{
			EEGhiselli
		}}
		
			,
	publisher={McGraw_Hill}
		
	

}

@incollection{b7,
	
	
		,
	title={{Induction of decision trees}}
		,
	author={{
			JRQuinlan
		}}
	
	
		,
	journal={{Machine Learning}}
		
			1
			
			,
	year={1986}
		
	

}

@incollection{b8,
	
	
		,
	title={{Using mutual information for selecting features in supervised neural net learning}}
		,
	author={{
			RBattiti
		}}
	
	
		,
	journal={{IEEE Trans. Neural Networks}}
		
			5
			4
			
			,
	year={1994}
		
	

}

@book{b9,
	
	
		,
	title={{Numerical recipes in C}}
		,
	author={{
			WHPress
		} and {
			BPFlannery
		} and {
			SATeukolsky
		} and {
			WT&vetterling
		}}
		
		
		
		
			,
	year={1988}
			,
	publisher={Cambridge University Press}
			,
	address={Cambridge}
		
	

}

@incollection{b10,
	
	
		,
	title={{Very simple classification rules perform well on most commonly used datasets}}
		,
	author={{
			RCHolte
		}}
	
	
		,
	booktitle={{Machine Learning}}
				
			,
	year={1993}
			11
			
		
	

}

@book{b11,
	
	
		,
	title={{Essentials of Artificial Intelligence}}
		,
	author={{
			MGinsberg
		}}
		
			,
	year={1993}
			,
	publisher={Morgan Kaufmann}
		
	

}

@incollection{b12,
	
	
		,
	title={{An Optimal Transformation for Discriminant Principal Component Analysis}}
		,
	author={{
			SDuchene
		} and {
			Leclercq
		}}
		
	
	
		,
	journal={{IEEE Trans. On Pattern Analysis and Machine Intelligence}}
		
			10
			6
			,
	year={November 1988}
		
	

}

@incollection{b13,
	
	
		,
	title={{Arcing classifiers}}
		,
	author={{
			LBreiman
		}}
	
	
		,
	journal={{Annals of Statistics}}
		
			26
			3
			
			,
	year={1998}
		
	

}

@book{b14,
	
	
		,
	title={{Classification and Regression Trees}}
		,
	author={{
			LBreiman
		} and {
			JHFriedman
		} and {
			RAOlshen
		} and {
			CJStone
		}}
		
		
		
		
			,
	year={1984}
			,
	publisher={Wadsworth International}
			,
	address={Belmont, Ca}
		
	

}

@incollection{b15,
	
	
		,
	title={{\An Introduction to Recursive Partitioning Using the rpart Routine}}
		,
	author={{
			TMTherneau
		} and {
			EJAtkinson
		}}
		
		
	
	
		,
	booktitle={{Section of Biostatistics}}
				Rochester,URL
		
			,
	year={1997}
			61
		
	
	,
	note={Mayo Clinic}

}

@incollection{b16,
	
	
		,
	title={{An empirical study of the naive Bayes classifier}}
		,
	author={{
			IRish
		}}
	
	
		,
	journal={{Workshop on Empirical Methods in Artificial Intelligence}}
		
			,
	year={2001}
		
	
	,
	note={IJCAI}

}

@book{b17,
	
	
		,
	title={{The nature of statistical learning theory}}
		,
	author={{
			VNVapnik
		}}
		
			,
	year={1995}
			,
	address={New York, Springer}
		
	

}

@book{b18,
	
	
		,
	title={{The Nature of Statistical Learning Theory}}
		,
	author={{
			VladimirNVapnik
		}}
		
			,
	year={1995}
			,
	publisher={Springer-Verlag}
			187
			,
	address={New York}
		
	

}

@incollection{b19,
	
	
		,
	title={{A Comparative Study on Feature Selection in Text Categorization}}
		,
	author={{
			YYang
		} and {
			JOPedersen
		}}
		
	
	
		,
	booktitle={{Proc. of the 14th International Conference on Machine Learning ICML97}}
				of the 14th International Conference on Machine Learning ICML97
		
			,
	year={1997}
			
		
	

}

@incollection{b20,
	
	
		,
	title={{An Evaluation of Naive Bayesian Networks}}
		,
	author={{
			IAndroutsopoulos
		} and {
			JKoutsias
		}}
		
	
	
		,
	booktitle={{Machine Learning in the New Information Age}}
				Barcelona Spain
		
			,
	year={2000}
			
		
	

}

@book{b21,
	
	
		,
	title={{An introduction to support vector machines}}
		,
	author={{
			NCristianini
		} and {
			JShawe-Taylor
		}}
		
		
			,
	year={2000}
			,
	address={Cambridge, UK}
		
		
			Cambridge University Press?
		
	

}

@book{b22,
	
	
		,
	title={{Support Vector and Kernel Methods, References Références Referencias Intelligent Data Analysis: An Introduction}}
		,
	author={{
			NCristianini
		} and {
			JShawe-Taylor
		}}
		
		
			,
	year={2003?}
			,
	publisher={Springer -Verlag?}
		
	

}

@book{b23,
	
	
		,
	author={{
			BSchölkopf
		} and {
			CJ CBurges
		} and {
			AJSmola
		}}
		
		
		,
	title={{Advances in Kernel Methods: Support Vector Learning}}
				
			,
	publisher={MIT Press}
			,
	year={1998}
		
	

}

@book{b24,
	
	
		,
	title={{Learning with kernels: Support Vector Machines, regularization, optimization, and beyond}}
		,
	author={{
			AJSmola
		} and {
			BScholkopf
		}}
		
		
			,
	address={Cambridge, MA}
		
	
	,
	note={MIT press?}

}

@book{b25,
	
	
		,
	title={{? A tutorial on support vector machines for pattern recognition}}
		,
	author={{
			CJ CBurges
		}}
		
			,
	year={1998}
		
	

}

@incollection{b26,
	
	
		,
	title={{}}
	
	
		,
	journal={{Data Mining and Knowledge Discovery}}
		
			2
			2
			
		
	

}

@book{b27,
	
	
		,
	title={{}}
		,
	author={{
			AKaratzoglou
		} and {
			ASmola
		} and {
			KHornik
		} and {
			AZeileis
		}}
		
		
		
		
		
			,
	year={2005}
		
	
	,
	note={R package, Version 0.6-2}

}

@incollection{b28,
	
	
		,
	title={{}}
		,
	author={{
			AKaratzoglou
		} and {
			ASmola
		} and {
			KHornik
		} and {
			AZeileis
		}}
		
		
		
		
	
	
		,
	journal={{An S4 Package for Kernel Methods in R.? Journal of Statistical Software}}
		
			9
			11
			,
	year={2004}
		
	

}

@book{b29,
	
	
		,
	author={{
			-ChungChih
		} and {
			Chang
		} and {
			Chih-Jen Lin
		}}
		
		
		
		,
	title={{Libsvm: a library forsupport vector machines}}
				
			,
	year={2001}
		
	

}

@book{b30,
	
	
		,
	title={{R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing}}
		
		
			,
	year={2009}
			,
	address={Vienna, Austria}
		
	

}

@book{b31,
	
	
		,
	title={{-mlbench-A Collection for Artificial and Real-world Machine Learning Benchmarking Problems.?R package, version 0.5-6}}
		,
	author={{
			FLeisch
		} and {
			EDimitriadou
		}}
		
		
		
			,
	year={2001}
		
	

}

@book{b32,
	
	
		,
	title={{? UCI repository of Machine learning databases}}
		,
	author={{
			SHettich
		} and {
			CLBlake
		} and {
			CJMerz
		}}
		
		
		
		
			,
	year={1998}
		
		
			Department of Information and Computer Science, University of California, Irvine, CA?
		
	

}

@book{b33,
	
	
		,
	author={{
			EDimitriadou
		} and {
			KHornik
		} and {
			FLeisch
		} and {
			DMeyer
		} and {
			AWeingessel
		}}
		
		
		
		
		,
	title={{e1071: Misc Functions of the Department of Statistics (e1071)}}
				
			,
	publisher={TU}
			,
	year={2005}
		
	

}

@book{b34,
	
	
		,
	title={{}}
		,
	author={{
			Wien
		}}
		
		
			1
			
		
	

}

@incollection{b35,
	
	
		,
	title={{Feature selection for classification}}
		,
	author={{
			MDash
		} and {
			HLiu
		}}
		
	
	
		,
	booktitle={{Intelligent Data Analysis: An International Journal?}}
				
			,
	year={1997}
			1
			
		
	

}

@incollection{b36,
	
	
		,
	title={{Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier}}
		,
	author={{
			PDomingos
		} and {
			MPazzani
		}}
		
	
	
		,
	booktitle={{Proceedings of the International Conference on Machine Learning}}
				the International Conference on Machine Learning
		
			,
	year={1996}
		
	

}