Mining patterns in long sequential data with noise

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Mining patterns in long sequential data with noise

Full text

Pdf (682 KB)

Source

ACM SIGKDD Explorations Newsletter archive
Volume 2 , Issue 2 (December 2000) table of contents
Special issue on “Scalable data mining algorithms”

Pages: 28 - 33

Year of Publication: 2000

ISSN:1931-0145

Authors

Wei Wang	IBM T. J. Watson Research Center, 30 Saw Mill River Road, Hawthorne, NY
Jiong Yang	IBM T. J. Watson Research Center, 30 Saw Mill River Road, Hawthorne, NY
Philip S. Yu	IBM T. J. Watson Research Center, 30 Saw Mill River Road, Hawthorne, NY

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 44, Citation Count: 1

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/380995.381008 What is a DOI?

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 , 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
	2	Rakesh Agrawal , Ramakrishnan Srikant, Mining Sequential Patterns, Proceedings of the Eleventh International Conference on Data Engineering, p.3-14, March 06-10, 1995
	3	Roberto J. Bayardo, Jr., Efficiently mining long patterns from databases, Proceedings of the 1998 ACM SIGMOD international conference on Management of data, p.85-93, June 01-04, 1998, Seattle, Washington, United States
	4	Richard E. Blahut, Principles and practice of information theory, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1987
	5	[5] A. Califano, G. Stolovitzky, and Y. Tu. Analysis of gene expression microarrays: a combinatorial multivariate approach , IBM T. J. Watson Research Report, 1999.
	6	[6] R. Durbin, S. Eddy, A. Krough, and G. Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, 1998.
	7	Minos N. Garofalakis , Rajeev Rastogi , Kyuseok Shim, SPIRIT: Sequential Pattern Mining with Regular Expression Constraints, Proceedings of the 25th International Conference on Very Large Data Bases, p.223-234, September 07-10, 1999
	8	[8] National Center for Biotechnology Information. Available at "http://www.ncbi.nlm.nih.gov".
	9	[9] J. Han, W. Gong, and Y. Yin. Mining segment-wise periodic patterns in time-related databases. Proc. Int. Conf. on Knowledge Discovery and Data Mining, 214-218, 1998.
	10	Efficient Mining of Partial Periodic Patterns in Time Series Database, Proceedings of the 15th International Conference on Data Engineering, p.106, March 23-26, 1999
	11	Jiawei Han , Jian Pei , Yiwen Yin, Mining frequent patterns without candidate generation, Proceedings of the 2000 ACM SIGMOD international conference on Management of data, p.1-12, May 15-18, 2000, Dallas, Texas, United States
	12	[12] W. Hoeffding. Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association, vol. 58, 13-30, 1963.
	13	Heikki Mannila , Hannu Toivonen , A. Inkeri Verkamo, Discovery of Frequent Episodes in Event Sequences, Data Mining and Knowledge Discovery, v.1 n.3, p.259-289, 1997 [doi>10.1023/A:1009748302351]
	14	Banu Özden , Sridhar Ramaswamy , Abraham Silberschatz, Cyclic Association Rules, Proceedings of the Fourteenth International Conference on Data Engineering, p.412-421, February 23-27, 1998
	15	Sridhar Ramaswamy , Sameer Mahajan , Abraham Silberschatz, On the Discovery of Interesting Patterns in Association Rules, Proceedings of the 24rd International Conference on Very Large Data Bases, p.368-379, August 24-27, 1998
	16	Jiong Yang , Wei Wang , Philip S. Yu, Mining asynchronous periodic patterns in time series data, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.275-279, August 20-23, 2000, Boston, Massachusetts, United States [doi>10.1145/347090.347150]
	17	[17] J. Yang, W. Yang, and P. Yu. Meta-patterns: revealing hierarchy of periodic patterns. IBM Research Report, 2001.
	18	[18] J. Yang, W. Yang, and P. Yu. InfoMiner: mining significant periodic patterns with rare events in time series data. IBM Research Report, 2001.