Mining association rules with multiple minimum supports

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Mining association rules with multiple minimum supports

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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

San Diego, California, United States

Pages: 337 - 341

Year of Publication: 1999

ISBN:1-58113-143-7

Authors

Bing Liu	School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore 119260
Wynne Hsu	School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore 119260
Yiming Ma	School of Computing, National University of Singapore, Lower Kent Ridge Road, Singapore 119260

Sponsors

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 18, Downloads (12 Months): 151, Citation Count: 55

Additional Information:

references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Charu C. Aggarwal , Philip S. Yu, Online Generation of Association Rules, Proceedings of the Fourteenth International Conference on Data Engineering, p.402-411, February 23-27, 1998
	2	Rakesh Agrawal , Tomasz Imieliński , Arun Swami, Mining association rules between sets of items in large databases, Proceedings of the 1993 ACM SIGMOD international conference on Management of data, p.207-216, May 25-28, 1993, Washington, D.C., United States
	3	Rakesh Agrawal , Ramakrishnan Srikant, Fast Algorithms for Mining Association Rules in Large Databases, Proceedings of the 20th International Conference on Very Large Data Bases, p.487-499, September 12-15, 1994
	4	Sergey Brin , Rajeev Motwani , Jeffrey D. Ullman , Shalom Tsur, Dynamic itemset counting and implication rules for market basket data, Proceedings of the 1997 ACM SIGMOD international conference on Management of data, p.255-264, May 11-15, 1997, Tucson, Arizona, United States
	5	Jiawei Han , Yongjian Fu, Discovery of Multiple-Level Association Rules from Large Databases, Proceedings of the 21th International Conference on Very Large Data Bases, p.420-431, September 11-15, 1995
	6	Lee, W., Stolfo, S. J., and Mok, K. W. "Mining audit data to build intrusion detection models." KDD-98.
	7	Liu, B., Hsu, W. and Ma, Y. Mining association rules with multiple minimum supports. SoC technical report, 1999.
	8	Bing Liu , Wynne Hsu , Yiming Ma, Pruning and summarizing the discovered associations, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.125-134, August 15-18, 1999, San Diego, California, United States [doi>10.1145/312129.312216]
	9	Mannila, H. "Database methods for data mining." KDD-98 tutorial, 1998.
	10	Raymond T. Ng , Laks V. S. Lakshmanan , Jiawei Han , Alex Pang, Exploratory mining and pruning optimizations of constrained associations rules, Proceedings of the 1998 ACM SIGMOD international conference on Management of data, p.13-24, June 01-04, 1998, Seattle, Washington, United States
	11	Jong Soo Park , Ming-Syan Chen , Philip S. Yu, An effective hash-based algorithm for mining association rules, Proceedings of the 1995 ACM SIGMOD international conference on Management of data, p.175-186, May 22-25, 1995, San Jose, California, United States
	12	Rajeev Rastogi , Kyuseok Shim, Mining Optimized Association Rules with Categorical and Numeric Attributes, Proceedings of the Fourteenth International Conference on Data Engineering, p.503-512, February 23-27, 1998
	13	Ramakrishnan Srikant , Rakesh Agrawal, Mining Generalized Association Rules, Proceedings of the 21th International Conference on Very Large Data Bases, p.407-419, September 11-15, 1995
	14	Srikant, R., Vu, Q. and Agrawal, R. "Mining association rules with item constraints." KDD-97, 1997, pp. 67-73.

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	Yiming Ma , Bing Liu , Ching Kian Wong , Philip S. Yu , Shuik Ming Lee, Targeting the right students using data mining, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.457-464, August 20-23, 2000, Boston, Massachusetts, United States
	Jiong Yang , Wei Wang , Philip S. Yu, Infominer: mining surprising periodic patterns, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.395-400, August 26-29, 2001, San Francisco, California
	Bamshad Mobasher , Honghua Dai , Tao Luo , Miki Nakagawa, Effective personalization based on association rule discovery from web usage data, Proceedings of the 3rd international workshop on Web information and data management, November 09-01, 2001, Atlanta, Georgia, USA
	Jiuyong Li , Rodney Topor , Hong Shen, Construct robust rule sets for classification, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, July 23-26, 2002, Edmonton, Alberta, Canada
	Feng Tao , Fionn Murtagh , Mohsen Farid, Weighted Association Rule Mining using weighted support and significance framework, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2003, Washington, D.C.
	Hyunyoon Yun , Danshim Ha , Buhyun Hwang , Keun Ho Ryu, Mining association rules on significant rare data using relative support, Journal of Systems and Software, v.67 n.3, p.181-191, 15 September 2003
	Bing Liu , Wynne Hsu , Yiming Ma , Shu Chen, Mining interesting knowledge using DM-II, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.430-434, August 15-18, 1999, San Diego, California, United States
	Yuh-Jiuan Tsay , Ya-Wen Chang-Chien, An efficient cluster and decomposition algorithm for mining association rules, Information Sciences—Informatics and Computer Science: An International Journal, v.160 n.1-4, p.161-171, 22 March 2004
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	Krishna Gade , Jianyong Wang , George Karypis, Efficient closed pattern mining in the presence of tough block constraints, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
	Ioannis N. Kouris , Christos H. Makris , Athanasios K. Tsakalidis, Efficient automatic discovery of 'hot' itemsets, Information Processing Letters, v.90 n.2, p.65-72, 30 April 2004
	Edward R. Omiecinski, Alternative Interest Measures for Mining Associations in Databases, IEEE Transactions on Knowledge and Data Engineering, v.15 n.1, p.57-69, January 2003
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	Ke Wang , Yu He , Jiawei Han, Pushing Support Constraints Into Association Rules Mining, IEEE Transactions on Knowledge and Data Engineering, v.15 n.3, p.642-658, March 2003
	Bing Liu , Yiming Ma , Ching Kian Wong, Scoring and ranking the data using association rules, Data mining, rough sets and granular computing, Physica-Verlag GmbH, Heidelberg, Germany, 2002
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	Cheng-Ru Lin , Chang-Hung Lee , Ming-Syan Chen , Philip S. Yu, Distributed data mining in a chain store database of short transactions, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, July 23-26, 2002, Edmonton, Alberta, Canada
	Amihood Amir , Yonatan Aumann , Ronen Feldman , Moshe Fresko, Maximal Association Rules: A Tool for Mining Associations in Text, Journal of Intelligent Information Systems, v.25 n.3, p.333-345, November 2005
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	Ming-Cheng Tseng , Wen-Yang Lin, Maintenance of generalized association rules with multiple minimum supports, Intelligent Data Analysis, v.8 n.4, p.417-436, September 2004
	FADI THABTAH, A review of associative classification mining, The Knowledge Engineering Review, v.22 n.1, p.37-65, March 2007
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