@incollection{,
	
					
					
					B3FEF4FED13D0707FACE751BA8ACCD14
				,
	author={{Dr. vidhyarani} and {elizabethshanthi} and {avinashilingam university}},
	journal={{Global Journal of Computer Science and Technology}},
	journal={{GJCST}}0975-41720975-435010.34257/gjcst,
	address={Cambridge, United States},
	publisher={Global Journals Organisation}11144145
}

@incollection{b0,
	
	
		,
	title={{}}
		,
	author={{
			Jia-YuDai
		} and {
			Don-LinYang
		} and {
			JungpinWu
		} and {
			Ming-ChuanHung
		}}
		
		
		
	
	
		,
	journal={{An Efficient Data Mining Approach on Compressed Transactions}}
		
			3
			,
	year={2 2008}
		
	
	,
	note={International Journal of Electrical and Computer Engineering}

}

@book{b1,
	
	
		,
	title={{Compact Transaction Database for Efficient Frequent Pattern Mining}}
		,
	author={{
			TQigarwal
		} and {
			AijunWan
		} and {
			An
		}}
		
		
		
	

}

@incollection{b2,
	
	
		,
	title={{Association rules between sets of items in large databases}}
		,
	author={{
			RAgarwal
		} and {
			TImielinski
		} and {
			ASwami
		} and {
			Minign
		}}
		
		
		
	
	
		,
	booktitle={{proceeding ACM SIGMOD International conference on management of data}}
				eeding ACM SIGMOD International conference on management of dataWashington, D.C., USA
		
			,
	year={May 1993}
			
		
	

}

@incollection{b3,
	
	
		,
	title={{An Efficient Algorithm for Mining Association Rules in Large Databases}}
		,
	author={{
			ESavasere
		} and {
			SOmiecinski
		} and {
			Navathe
		}}
		
		
	
	
		,
	booktitle={{Proceedings of the 21 st International Conference on Very Large Data Bases}}
				the 21 st International Conference on Very Large Data Bases
		
			,
	year={1995}
			
		
	

}

@incollection{b4,
	
	
		,
	title={{Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms}}
		,
	author={{
			SanthoshKumar
		}}
	
	
		,
	journal={{Int. J. of Advanced Networking and Applications}}
		
			400
			
			,
	year={2010}
		
	

}

@incollection{b5,
	
	
		,
	title={{Spam Filtering Using Statistical Data Compression Models}}
		,
	author={{
			AndrejBratko
		} and {
			Bra
		}}
		
	
	
		,
	journal={{Journal of Machine Learning Research}}
		
			7
			
			,
	year={2006}
		
	

}

@incollection{b6,
	
	
		,
	title={{Efficient Associating Mining Approaches for Compressing Incrementally Updatable Native XML Databases}}
		,
	author={{
			Chin-FengLee
		} and {
			Chia-HsingTsai
		}}
		
	
	
		,
	journal={{IAENG International Journal of Computer Science}}
		
			33
			1
			
		
	

}

@incollection{b7,
	
	
		,
	title={{Fast algorithms for frequent item set mining using FP-trees}}
		,
	author={{
			GGrahne
		} and {
			JZhu
		}}
		
	
	
		,
	journal={{IEEE Transactions on Knowledge and Data Engineering}}
		
			17
			
			,
	year={2005}
		
	

}

@incollection{b8,
	
	
		,
	title={{Mining The Data From Distributed Database Using An Improved Mining Algorithm}}
		,
	author={{
			JK LArokia Renjit Dr
		} and {
			Shunmuganathan
		}}
		
	
	
		,
	journal={{IJCSIS) International Journal of Computer Science and Information Security}}
		
			7
			3
			,
	year={March 2010}
		
	

}

@incollection{b9,
	
	
		,
	title={{Fast Algorithm for Mining Association Rules}}
		,
	author={{
			MHMargahny
		} and {
			AAMitwaly
		}}
		
	
	
		,
	booktitle={{AIML 05 Conference}}
				CICC, Cairo, Egypt
		
			,
	year={19-21 December 2005}
		
	

}

@incollection{b10,
	
	
		,
	title={{Management of Data, Global Journal of Computer Science and Technology Volume XI Issue XIV Version I pp}}
		,
	author={{
			MKSharma
		} and {
			*
		} and {
			JyotsanaSah
		} and {
			** ; Rimt-Iet
		} and {
			MandiGobindgarh
		}}
		
		
		
		
	
	
		,
	booktitle={{Proceedings of 2nd National Conference on Challenges & Opportunities in Information Technology}}
				2nd National Conference on Challenges & Opportunities in Information Technology
		
			,
	year={March 29. 2008. 2000}
			
		
	
	,
	note={Applications of Data Compression Approach In Data Warehouse Design}

}

@incollection{b11,
	
	
		,
	title={{}}
	
	
		,
	journal={{A Study on Efficient Data Mining Approach on Compressed Transaction}}
		
	

}

@book{b12,
	
	
		,
	title={{Comparative Study Between Various Algorithms of Data Compression Techniques}}
		,
	author={{
			MohammedAl-Laham1 & Ibrahiem
		} and {
			MM ElEmary
		}}
		
		
	

}

@book{b13,
	
	
		,
	title={{A Compressed vertical Binary Algorithm for Mining Frequent Pattern}}
		,
	author={{
			JoseHernandez Palancar
		}}
		
	

}

@incollection{b14,
	
	
		,
	title={{Pincer-search: an efficient algorithm for discovering the maximum frequent set}}
		,
	author={{
			DILin
		} and {
			ZMKedem
		}}
		
	
	
		,
	journal={{IEEE Transactions on Knowledge and Data Engineering}}
		
			14
			
			,
	year={2002}
		
	

}

@incollection{b15,
	
	
		,
	title={{Mining Compressed Frequent-Pattern Sets}}
		,
	author={{
			DXin
		} and {
			JHan
		} and {
			XYan
		} and {
			HCheng
		}}
		
		
		
	
	
		,
	booktitle={{Proceedings of the 31st international conference on Very Large Data Bases}}
				the 31st international conference on Very Large Data Bases
		
			,
	year={2005}
			
		
	

}

@incollection{b16,
	
	
		,
	title={{Fast Algorithms for Mining Association Rules}}
		,
	author={{
			RAgrawal
		} and {
			RSrikant
		}}
		
	
	
		,
	booktitle={{Proceedings of the 20th International Conference on Very Large Data Bases}}
				the 20th International Conference on Very Large Data Bases
		
			,
	year={1994}
			
		
	

}

@book{b17,
	
	
		,
	title={{Fast Discovery of Association Rules}}
		,
	author={{
			RakeshAgarwal
		} and {
			HeikkiMannila
		} and {
			RamakrishnanSrikant
		} and {
			AHannu Toivonen
		} and {
			Verkamo
		}}
		
		
		
		
		
	
	,
	note={inthe proceeding of IEEE}

}

@incollection{b18,
	
	
		,
	title={{MAFIA: A maximal frequent item set algorithm}}
		,
	author={{
			DBurdick
		} and {
			MCalimlim
		} and {
			JFlannick
		} and {
			JGehrke
		} and {
			TYiu
		}}
		
		
		
		
	
	
		,
	journal={{IEEE Transactions on Knowledge and Data Engineering}}
		
			17
			
			,
	year={2005}
		
	

}

@book{b19,
	
	
		,
	title={{Efficient Indirect Association Discovery using compact Transaction Database}}
		,
	author={{
			QianWan
		} and {
			AijunAn
		}}
		
		
	

}

@book{b20,
	
	
		,
	title={{FIUT:A new method for mining frequent itemset}}
		,
	author={{
			Yuh-JiuanTsay
		} and {
			Tain-JungHsu
		} and {
			Jing-RungYu
		}}
		
		
		
			,
	year={2009}
		
	
	,
	note={in the proceeding of information science}

}

@book{b21,
	
	
		,
	title={{CT-ITL: Efficient Frequent Item Set Mining Using A Compressed Prefix Tree With Pattern Growth}}
		,
	author={{
			YudhoGiri Sucahyo
		} and {
			RajPGopalan
		}}
		
		
	

}

@incollection{b22,
	
	
		,
	title={{A Sampling Based Method for Mining Frequent Patterns From Database". in the proceedings of Fuzzy systems and knowledge discovery in second international Dr.K.Alagarsamy and A.Meenakshi}}
		,
	author={{
			Yang-LiangChen
		} and {
			Chin-YuanHo
		}}
		
	
	
		,
	journal={{International Journal of Computer Applications}}
		
			10
			5
			
			,
	year={November 2010}
		
	
	,
	note={A Novelty Approach for Finding Frequent Itemsets in Horizontal and Vertical Layout-HVCFPMINETREE}

}

@incollection{b23,
	
	
		,
	title={{A Transaction Mapping Algorithm for Frequent Itemsets Mining}}
		,
	author={{
			MingjunSong
		} and {
			SanguthevarRajasekaran
		}}
		
	
	
		,
	booktitle={{the proceeding of IEEE transactions on knowledge and data engineering}}
				
	

}

@incollection{b24,
	
	
		,
	title={{A Compress-Based Association Mining Algorithm for Large Dataset}}
		,
	author={{
			MZAshrafi
		} and {
			DTaniar
		} and {
			KSmith
		}}
		
		
	
	
		,
	booktitle={{Proceedings of International Conference on Computational Science}}
				International Conference on Computational Science
		
			,
	year={2003}
			
		
	

}

@incollection{b25,
	
	
		,
	title={{Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach}}
		,
	author={{
			JiaweiHan
		} and {
			JianPei
		} and {
			YiwenYin
		} and {
			RunyingMao
		}}
		
		
		
	
	
		,
	booktitle={{Microsoft Corporation Data Mining and Knowledge Discovery}}
				
			,
	year={2004}
			8
			
		
	

}

@incollection{b26,
	
	
		,
	title={{Mining Multiple-Level Association Rules in Large Databases}}
		,
	author={{
			JiaweiHan
		} and {
			YongjianFu
		}}
		
	
	
		,
	journal={{IEEE transactions on knowledge and data engineering}}
		
			11
			5
			,
	year={september/october 1999}
		
	

}

@incollection{b27,
	
	
		,
	title={{Mining important association rules based on the RFMD technique}}
		,
	author={{
			YoonesAsgharzadeh Sekhavat
		} and {
			MFathian
		} and {
			MRGholamian
		} and {
			SAlizadeh
		}}
		
		
		
	
	
		,
	journal={{Int. J. Data Analysis Techniques and Strategies}}
		
			2
			1
			,
	year={2010}
		
	

}

@incollection{b28,
	
	
		,
	title={{Fast Algorithms for Mining Association Rules}}
		,
	author={{
			RAgrawal
		} and {
			RSrikant
		}}
		
	
	
		,
	booktitle={{Proceedings of the 20th International Conference on Very Large Data Bases}}
				the 20th International Conference on Very Large Data Bases
		
			,
	year={1994}
			
		
	

}

@incollection{b29,
	
	
		,
	title={{An Efficient Algorithm for Mining Association Rules in Large Databases}}
		,
	author={{
			ESavasere
		} and {
			SOmiecinski
		} and {
			Navathe
		}}
		
		
	
	
		,
	booktitle={{Proceedings of the 21 st International Conference on Very Large Data Bases}}
				the 21 st International Conference on Very Large Data Bases
		
			,
	year={1995}
			
		
	

}

@incollection{b30,
	
	
		,
	title={{A general incremental technique for maintaining discovered association rules}}
		,
	author={{
			DW LCheung
		} and {
			SDLee
		} and {
			BKao
		}}
		
		
	
	
		,
	booktitle={{Proceedings of the 15th International Conference on Database Systems for Advanced Applications}}
				the 15th International Conference on Database Systems for Advanced Applications
		
			,
	year={1997}
			
		
	

}

@incollection{b31,
	
	
		,
	title={{Efficient Mining of Association Rules by Reducing the Number of Passes over the Database}}
		,
	author={{
			WangLi Qingzhong
		} and {
			Haiyang
		} and {
			Yan Zhongmin
		} and {
			Ma Shaohan
		}}
		
		
		
	
	
		,
	journal={{J] Journal of Computer Science and Technology}}
		
			16
			2
			
			,
	year={2001}
		
	

}

@incollection{b32,
	
	
		,
	title={{Fuzzy Association Rule Mining Algorithm for Fast and Efficient Performance on Very Large Datasets}}
		,
	author={{
			AshishMangalampalli
		} and {
			VikramPudi
		}}
		
		IIIT/TR/2009/173
	
	
		,
	booktitle={{IEEE International Conference on Fuzzy Systems}}
				Jeju Island, Korea Report
		
			,
	publisher={FUZZ-IEEE}
		
	

}