A localized algorithm for parallel association mining

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A localized algorithm for parallel association mining

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ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the ninth annual ACM symposium on Parallel algorithms and architectures table of contents

Newport, Rhode Island, United States

Pages: 321 - 330

Year of Publication: 1997

ISBN:0-89791-890-8

Authors

Mohammed Javeed Zaki	Department of Computer Science, University of Rochester, Rochester, NY
Srinivasan Parthasarathy	Department of Computer Science, University of Rochester, Rochester, NY
Wei Li	Department of Computer Science, University of Rochester, Rochester, NY

Sponsors

SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 37, Citation Count: 3

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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	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
	2	Rakesh Agrawal , Heikki Mannila , Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo, Fast discovery of association rules, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	3	Rakesh Agrawal , John C. Shafer, Parallel Mining of Association Rules, IEEE Transactions on Knowledge and Data Engineering, v.8 n.6, p.962-969, December 1996 [doi>10.1109/69.553164]
	4	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
	5	David W. Cheung , Jiawei Han , Vincent T. Ng , Ada W. Fu , Yongjian Fu, A fast distributed algorithm for mining association rules, Proceedings of the fourth international conference on on Parallel and distributed information systems, p.31-43, December 18-20, 1996, Miami Beach, Florida, United States
	6	David W. Cheung , Vincent T. Ng , Ada W. Fu , Yongjian Fu, Efficient Mining of Association Rules in Distributed Databases, IEEE Transactions on Knowledge and Data Engineering, v.8 n.6, p.911-922, December 1996 [doi>10.1109/69.553158]
	7	Richard B. Gillett, Memory Channel Network for PCI, IEEE Micro, v.16 n.1, p.12-18, February 1996 [doi>10.1109/40.482307]
	8	M. Holsheimer, M. Kersten, H. Mannila, and H. Toivonen. A perspective on databases and data mining. In 1st Intl. Conf. Knowledge Discovery and Data Mining, Aug. 1995.
	9	Maurice A. W. Houtsma , Arun N. Swami, Set-Oriented Mining for Association Rules in Relational Databases, Proceedings of the Eleventh International Conference on Data Engineering, p.25-33, March 06-10, 1995
	10	H. Mannila, H. Toivonen, and I. Verkamo. Efficient algorithms for discovering association rules. In AAAI Wkshp. Knowledge Discovery in Databases, July 1994.
	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	Jong Soo Park , Ming-Syan Chen , Philip S. Yu, Efficient parallel data mining for association rules, Proceedings of the fourth international conference on Information and knowledge management, p.31-36, November 29-December 02, 1995, Baltimore, Maryland, United States [doi>10.1145/221270.221320]
	13	S. Parthasarathy, M. J. Zaki, and W. Li. Application driven memory placement for dynamic data structures. Technical Report URCS TR 653, University of Rochester, Apr. 1997.
	14	Ashoka Savasere , Edward Omiecinski , Shamkant B. Navathe, An Efficient Algorithm for Mining Association Rules in Large Databases, Proceedings of the 21th International Conference on Very Large Data Bases, p.432-444, September 11-15, 1995
	15	Hannu Toivonen, Sampling Large Databases for Association Rules, Proceedings of the 22th International Conference on Very Large Data Bases, p.134-145, September 03-06, 1996
	16	M. J. Zaki , M. Ogihara , S. Parthasarathy , W. Li, Parallel data mining for association rules on shared-memory multi-processors, Proceedings of the 1996 ACM/IEEE conference on Supercomputing (CDROM), p.43-es, January 01-01, 1996, Pittsburgh, Pennsylvania, United States [doi>10.1145/369028.369117]
	17	M. J. Zaki , S. Parthasarathy , Wei Li , M. Ogihara, Evaluation of sampling for data mining of association rules, Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications, p.42, April 07-08, 1997
	18	Mohammed J Zaki , Srinivasan Parthasarathy , Mitsunori Ogihara , Wei Li, New Algorithms for Fast Discovery of Association Rules, University of Rochester, Rochester, NY, 1997

CITED BY 3

	Vipin Kumar , Mohammed Zaki, High performance data mining (tutorial PM-3), Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.309-425, August 20-23, 2000, Boston, Massachusetts, United States
	Peiyi Tang , Li Ning , Ningning Wu, Domain and data partitioning for parallel mining of frequent closed itemsets, Proceedings of the 43rd annual southeast regional conference, March 18-20, 2005, Kennesaw, Georgia
	Mohammed J. Zaki , Srinivasan Parthasarathy , Mitsunori Ogihara , Wei Li, Parallel Algorithms for Discovery of Association Rules, Data Mining and Knowledge Discovery, v.1 n.4, p.343-373, December 1997