@incollection{,
	
					
					
					2963A5B1ABD3059E3BFEEF5AD888284C
				,
	author={{Kalli Srinivasa NageswaraPrasad} and {Prof. S.Ramakrishna} and {Sri Venkateswara University, Tirupati}},
	journal={{Global Journal of Researches in Engineering}},
	journal={{GJRE}}2249-45960975-586110.34257/gjre,
	address={Cambridge, United States},
	publisher={Global Journals Organisation}1175162
}

@incollection{b0,
	
	
		,
	title={{Statistical issues and challenges associated with rapid detection of bioterrorist attacks}}
		,
	author={{
			SEFienberg
		} and {
			GShmueli
		}}
		
	
	
		,
	journal={{Statistics in Medicine}}
		
			,
	year={2005}
		
	

}

@incollection{b1,
	
	
		,
	title={{A: :Integrated analysis of gene expression by association rules discovery}}
		,
	author={{
			PCarmona-Saez
		} and {
			MChagoyen
		} and {
			ARodriguez
		} and {
			OTrelles
		} and {
			JMCarazo
		} and {
			Montano
		}}
		
		
		
		
		
	
	
		,
	journal={{BMC Bioinformatics}}
		
			,
	year={2006}
		
	

}

@incollection{b2,
	
	
		,
	title={{QROC: A Variation of ROC Space to Analyze Item Set Costs/Benefits in Association Rules}}
		,
	author={{
			PratiRonaldo Cristiano
		}}
	
	
		,
	booktitle={{Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction}}
				
			,
	year={2009}
			
		
	

}

@incollection{b3,
	
	
		,
	title={{Association rule analysis of CAO data (with discussion)}}
		,
	author={{
			PMcnicholas
		}}
	
	
		,
	journal={{Journal of the Statistical and Social Inquiry Society of Ireland}}
		
			,
	year={2007}
		
	

}

@incollection{b4,
	
	
		,
	title={{ROCCER: an algorithm for rule learning based on ROC analysis}}
		,
	author={{
			RPrati
		} and {
			PFlach
		}}
		
	
	
		,
	booktitle={{Proceeding of the 19th International Joint Conference on Artificial Intelligence}}
				eeding of the 19th International Joint Conference on Artificial Intelligence
		
			,
	year={2005}
		
	

}

@incollection{b5,
	
	
		,
	title={{PRIE: A system to generate rulelists to maximize ROC performance}}
		,
	author={{
			TFawcett
		}}
	
	
		,
	journal={{Data Mining and Knowledge Discovery Journal}}
		
			17
			2
			
			,
	year={2008}
		
	

}

@incollection{b6,
	
	
		,
	title={{Extended Association Algorithm Based on ROC Analysis for Visual Information Navigator}}
		,
	author={{
			HKawano
		} and {
			MKawahara
		}}
		
	
	
		,
	booktitle={{Lecture Notes In Computer Science}}
		
			
			,
	year={2002, 2281}
		
	

}

@incollection{b7,
	
	
		,
	title={{Analysis, and Presentation of Strong Rules}}
		,
	author={{
			GPiatetsky-Shapiro
		} and {
			GPiatetsky-Shapiro
		} and {
			WJFrawley
		} and {
			SBrin
		} and {
			RMotwani
		} and {
			JDUllman
		}}
		
		
		
		
		
	
	
		,
	booktitle={{Proceedings of the 11th international symposium on Applied Stochastic Models and Data Analysis ASMDA}}
				the 11th international symposium on Applied Stochastic Models and Data Analysis ASMDA
		
			,
	year={2005}
			16
			
		
	

}

@incollection{b8,
	
	
		,
	title={{Pruning and summarizing the discovered associations}}
		,
	author={{
			BLiu
		} and {
			WHsu
		} and {
			YMa
		}}
		
		
	
	
		,
	booktitle={{Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining 1999}}
				the fifth ACM SIGKDD international conference on Knowledge discovery and data mining 1999
		
			
		
	

}

@incollection{b9,
	
	
		,
	title={{A Conformity Measure Using Background Knowledge for Association Rules: Application to Text Mining}}
		,
	author={{
			HaceneCherfi
		} and {
			AmedeoNapoli
		} and {
			YannickToussaint
		}}
		
		
	
	
		,
	booktitle={{Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction}}
				
			,
	year={2009}
			
		
	

}

@incollection{b10,
	
	
		,
	title={{Pruning and summarizing the discovered associations}}
		,
	author={{
			BLiu
		} and {
			WHsu
		} and {
			YMa
		}}
		
		
	
	
		,
	booktitle={{Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining}}
				the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
		
			,
	year={1999}
		
	

}

@incollection{b11,
	
	
		,
	title={{Continuous Post-Mining of Association Rules in a Data Stream Management System}}
		,
	author={{
			HetalThakkar
		} and {
			BarzanMozafari
		} and {
			CarloZaniolo
		}}
		
		
	
	
		,
	booktitle={{Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction}}
				
			,
	year={2009}
			
		
	

}

@incollection{b12,
	
	
		,
	title={{A User-Driven Process for Mining Association Rules}}
		,
	author={{
			PKuntz
		} and {
			FGuillet
		} and {
			RLehn
		} and {
			HBriand
		}}
		
		
		
	
	
		,
	booktitle={{4th Eur. Conf. on Principles of Data Mining and Knowledge Discovery}}
				,
	editor={
			DZighed
			HKomorowski
			&JZytkow
		}
		
			,
	year={2000}
		
	

}

@incollection{b13,
	
	
		,
	title={{Post-Processing for Rule Reduction Using Closed Set}}
		,
	author={{
			HuawenLiu
		} and {
			JiguiSun
		} and {
			HuijieZhang
		}}
		
		
	
	
		,
	booktitle={{Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction}}
				
			,
	year={2009}
			
		
	

}

@incollection{b14,
	
	
		,
	title={{Interestingness of Frequent Itemsets using Bayesian networks as Background Knowledge}}
		,
	author={{
			SJaroszewicz
		} and {
			DSimovici
		}}
		
	
	
		,
	booktitle={{ACM SIGKDD Conference on Knowledge Discovery in Databases}}
				
			,
	year={2004}
		
	

}

@incollection{b15,
	
	
		,
	title={{Fast Discovery of Unexpected Patterns in Data, Relative to a Bayesian Network}}
		,
	author={{
			SJaroszewicz
		} and {
			TScheffer
		}}
		
	
	
		,
	booktitle={{ACM SIGKDD Conference on Knowledge Discovery in Databases}}
				
			,
	year={2005}
		
	

}

@incollection{b16,
	
	
		,
	title={{Iterative Bayesian Network Implementation by using Annotated Association Rules}}
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	author={{
			CFaure
		} and {
			DDelprat
		} and {
			JFBoulicaut
		} and {
			AMille
		}}
		
		
		
	
	
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	booktitle={{15th Int'l Conf. on Knowledge Engineering and Knowledge Management -Managing Knowledge in a World of Networks}}
				
			,
	year={2006}
		
	

}

@book{b17,
	
	
		,
	title={{Post-Analysis of Learned Rules}}
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	author={{
			BLiu
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			WHsu
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	year={1996}
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	publisher={AAAI/IAAI}
		
	

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@incollection{b18,
	
	
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	title={{Clustering Association Rules}}
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	author={{
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		} and {
			ANSwami
		} and {
			JWidom
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				the Thirteenth International Conference on Data EngineeringBirmingham U.K.
		
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	publisher={IEEE Computer Society}
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	year={1997}
		
	

}

@incollection{b19,
	
	
		,
	title={{Mining for strong negative associations in a large database of customer transactions}}
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	author={{
			ASavasere
		} and {
			EOmiecinski
		} and {
			SNavathe
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	booktitle={{Proceedings of the 14th International Conference on Data Engineering}}
				the 14th International Conference on Data EngineeringWashington DC, USA
		
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	year={1998}
		
	

}

@incollection{b20,
	
	
		,
	title={{Evaluating the Novelty of Text-Mined Rules using Lexical Knowledge}}
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	author={{
			SBasu
		} and {
			RJMooney
		} and {
			KVPasupuleti
		} and {
			JGhosh
		}}
		
		
		
	
	
		,
	booktitle={{7th ACM SIGKDD International Conference on Knowledge Discovery in Databases}}
				
			,
	year={2001}
		
	

}

@incollection{b21,
	
	
		,
	title={{Knowledge-Based Interactive Postmining of Association Rules Using Ontologies}}
		,
	author={{
			ClaudiaMarinica
		} and {
			FabriceGuillet
		}}
		
	
	
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	journal={{IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING}}
		
			22
			6
			,
	year={JUNE 2010}
		
	

}

@incollection{b22,
	
	
		,
	title={{Charm: An Efficient Algorithm for Closed Itemset Mining}}
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	author={{
			MJZaki
		} and {
			CJHsiao
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	booktitle={{Proc. Second SIAM Int'l Conf. Data Mining}}
				Second SIAM Int'l Conf. Data Mining
		
			,
	year={2002}
			
		
	

}

@incollection{b23,
	
	
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	title={{Closet: An Efficient Algorithm for Mining Frequent Closed Itemsets}}
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	author={{
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		} and {
			JHan
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			RMao
		}}
		
		
	
	
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	booktitle={{Proc. ACM SIGMOD Workshop Research Issues in Data Mining and Knowledge Discovery}}
				ACM SIGMOD Workshop Research Issues in Data Mining and Knowledge Discovery
		
			,
	year={2000}
			
		
	

}

@incollection{b24,
	
	
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	title={{Theoretical Foundations of Association Rules}}
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	author={{
			MJZaki
		} and {
			MOgihara
		}}
		
	
	
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	booktitle={{Proc. Workshop Research Issues in Data Mining and Knowledge Discovery (DMKD '98)}}
				Workshop Research Issues in Data Mining and Knowledge Discovery (DMKD '98)
		
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	year={June 1998}
			
		
	

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@incollection{b25,
	
	
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	title={{Mafia: A Maximal Frequent Itemset Algorithm}}
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	author={{
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		} and {
			MCalimlim
		} and {
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			JGehrke
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			TYiu
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			11
			
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	year={Nov. 2005}
		
	

}

@incollection{b26,
	
	
		,
	title={{On Optimal Rule Discovery}}
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	author={{
			JLi
		}}
	
	
		,
	journal={{IEEE Trans. Knowledge and Data Eng}}
		
			18
			4
			
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	year={Apr. 2006}
		
	

}

@incollection{b27,
	
	
		,
	title={{Selective Association Rule Generation}}
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	author={{
			MHahsler
		} and {
			CBuchta
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			KHornik
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	journal={{Computational Statistic}}
		
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			2
			
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	year={2008}
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	publisher={Kluwer Academic Publishers}
		
	

}

@incollection{b28,
	
	
		,
	title={{Pruning and Grouping of Discovered Association Rules}}
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	author={{
			HToivonen
		} and {
			MKlemettinen
		} and {
			PRonkainen
		} and {
			KHatonen
		} and {
			HMannila
		}}
		
		
		
		
	
	
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	booktitle={{Proc. ECML-95}}
				ECML-95
		
	

}

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	title={{Machine Learning, and Knowledge Discovery in Databases}}
				
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}

@incollection{b30,
	
	
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	title={{Mining the Most Interesting Rules}}
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			R
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	booktitle={{Proc. ACM SIGKDD}}
				ACM SIGKDD
		
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	year={1999}
			
		
	

}

@incollection{b31,
	
	
		,
	title={{Finding Interesting Rules from Large Sets of Discovered Association Rules}}
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	author={{
			MKlemettinen
		} and {
			HMannila
		} and {
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		} and {
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@incollection{b32,
	
	
		,
	title={{Mining Generalized Association Rules}}
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	author={{
			RSrikant
		} and {
			R
		}}
		
		
	
	
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@incollection{b33,
	
	
		,
	title={{Verifying and Mining Frequent Patterns from Large Windows over Data Streams}}
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	author={{
			BarzanMozafari
		} and {
			HetalThakkar
		} and {
			CarloZaniolo
		}}
		
		
	
	
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	booktitle={{Proceedings of the 24th International Conference on Data Engineering}}
				the 24th International Conference on Data EngineeringCancún, México
		
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	year={2008. April 7-12, 2008}
		
	

}

@book{b34,
	
	
		,
	title={{Parallel Edge Projection and Pruning (PEPP) Based Sequence Graph protrude approach for Closed Itemset Mining kalli Srinivasa Nageswara Prasad}}
		ol. 9
		
			,
	address={Tirupati, Andhra Pradesh , India; Tirupati, Andhra Pradesh , India}
		
		
			Sri Venkateswara University ; Department of Computer Science, Sri Venkateswara University
		
	
	,
	note={Prof. S. Ramakrishna}

}

@incollection{b35,
	
	
		,
	title={{}}
	
	
		,
	journal={{International Journal of Computer Science and Information Security}}
		
			9
			9
			,
	year={September 2011. September 2011}
		
	

}

@incollection{b36,
	
	
		,
	title={{Mining Closed Itemsets for Coherent Rules: An Inference Analysis Approach By Kalli Srinivasa Nageswara Prasad}}
	
	
		,
	journal={{Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online}}
		0975-4172 and Print : 0975
		
			11
			,
	year={19 Version 1.0 November 2011}
		
	
	,
	note={Prof. S. Ramakrishna, Global Journal of Computer Science and Technology}

}