Mining asynchronous periodic patterns in time series data

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Mining asynchronous periodic patterns in time series data

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

Boston, Massachusetts, United States

Pages: 275 - 279

Year of Publication: 2000

ISBN:1-58113-233-6

Authors

Jiong Yang	IBM Watson Research Center
Wei Wang	IBM Watson Research Center
Philip S. Yu	IBM Watson Research Center

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): 10, Downloads (12 Months): 80, Citation Count: 18

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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	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
	2	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
	3	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
	4	J. Yang, W. Wang, and P. S. Yu. Mining asynchronous periodic patterns in time series data. IBM Research Report, 2000.

CITED BY 18

	Jiong Yang , Wei Wang , Philip S. Yu , Jiawei Han, Mining long sequential patterns in a noisy environment, Proceedings of the 2002 ACM SIGMOD international conference on Management of data, June 03-06, 2002, Madison, Wisconsin
	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
	Zhiyuan Chen , Chen Li , Jian Pei , Yufei Tao , Haixun Wang , Wei Wang , Jiong Yang , Jun Yang , Donghui Zhang, Recent progress on selected topics in database research: a report by nine young Chinese researchers working in the United States, Journal of Computer Science and Technology, v.18 n.5, p.538-552, September 2003
	Yuya Matsuo , Miki Amano , Kuniaki Uehara, Mining video editing rules in video streams, Proceedings of the tenth ACM international conference on Multimedia, December 01-06, 2002, Juan-les-Pins, France
	Nikos Mamoulis , Huiping Cao , George Kollios , Marios Hadjieleftheriou , Yufei Tao , David W. Cheung, Mining, indexing, and querying historical spatiotemporal data, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
	Gianluigi Greco , Antonella Guzzo , Giuseppe Manco , Domenico Sacca, Mining and Reasoning on Workflows, IEEE Transactions on Knowledge and Data Engineering, v.17 n.4, p.519-534, April 2005
	Mohamed G. Elfeky , Walid G. Aref , Ahmed K. Elmagarmid, Periodicity Detection in Time Series Databases, IEEE Transactions on Knowledge and Data Engineering, v.17 n.7, p.875-887, July 2005
	Minghua Zhang , Ben Kao , David W. Cheung , Kevin Y. Yip, Mining periodic patterns with gap requirement from sequences, Proceedings of the 2005 ACM SIGMOD international conference on Management of data, June 14-16, 2005, Baltimore, Maryland
	Ming C. Hao , Daniel A. Keim , Umeshwar Dayal , Jörn Schneidewind, Business process impact visualization and anomaly detection, Information Visualization, v.5 n.1, p.15-27, March 2006
	Christos Berberidis , Ioannis Vlahavas, Mining for weak periodic signals in time series databases, Intelligent Data Analysis, v.9 n.1, p.29-42, January 2005
	Jiong Yang , Wei Wang , Philip S. Yu, Mining Surprising Periodic Patterns, Data Mining and Knowledge Discovery, v.9 n.2, p.189-216, September 2004
	Wei Wang , Jiong Yang , Philip S. Yu, Mining patterns in long sequential data with noise, ACM SIGKDD Explorations Newsletter, v.2 n.2, p.28-33, Dec. 2000
	Minghua Zhang , Ben Kao , David W. Cheung , Kevin Y. Yip, Mining periodic patterns with gap requirement from sequences, ACM Transactions on Knowledge Discovery from Data (TKDD), v.1 n.2, p.7-es, August 2007
	Fabian Mörchen, Unsupervised pattern mining from symbolic temporal data, ACM SIGKDD Explorations Newsletter, v.9 n.1, p.41-55, June 2007
	Huiping Cao , Nikos Mamoulis , David W. Cheung, Discovery of Periodic Patterns in Spatiotemporal Sequences, IEEE Transactions on Knowledge and Data Engineering, v.19 n.4, p.453-467, April 2007
	Jieh-Shan Yeh , Szu-Chen Lin, A new data structure for asynchronous periodic pattern mining, Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, January 15-16, 2009, Suwon, Korea
	Zhen He , X. Sean Wang , Byung Suk Lee , Alan C. H. Ling, Mining partial periodic correlations in time series, Knowledge and Information Systems, v.15 n.1, p.31-54, March 2008
	Xingquan Zhu , Xindong Wu, Mining complex patterns across sequences with gap requirements, Proceedings of the 20th international joint conference on Artifical intelligence, p.2934-2940, January 06-12, 2007, Hyderabad, India