Cyclic Association Rules

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Cyclic Association Rules

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Proceedings of the Fourteenth International Conference on Data Engineering table of contents

Pages: 412 - 421

Year of Publication: 1998

ISBN:0-8186-8289-2

Authors

Banu Özden
Sridhar Ramaswamy
Abraham Silberschatz

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 49

Additional Information:

cited by collaborative colleagues

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CITED BY 49

	Juan M. Ale , Gustavo H. Rossi, An approach to discovering temporal association rules, Proceedings of the 2000 ACM symposium on Applied computing, p.294-300, March 2000, Como, Italy
	Hongjun Lu , Ling Feng , Jiawei Han, Beyond intratransaction association analysis: mining multidimensional intertransaction association rules, ACM Transactions on Information Systems (TOIS), v.18 n.4, p.423-454, Oct. 2000
	Helen Pinto , Jiawei Han , Jian Pei , Ke Wang , Qiming Chen , Umeshwar Dayal, Multi-dimensional sequential pattern mining, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA
	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
	Rajeev Rastogi , Kyuseok Shim, Scalable algorithms for mining large databases, Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.73-140, August 15-18, 1999, San Diego, California, United States
	Jiawei Han , Laks V. S. Lakshmanan , Jian Pei, Scalable frequent-pattern mining methods: an overview, Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, August 26-29, 2001, San Francisco, California
	Yen-Liang Chen , Shih-Sheng Chen , Ping-Yu Hsu, Mining hybrid sequential patterns and sequential rules, Information Systems, v.27 n.5, p.345-362, July 2002
	Yingjiu Li , Ningning Wu , Sean Wang , Sushil Jajodia, Enhancing profiles for anomaly detection using time granularities, Journal of Computer Security, v.10 n.1-2, p.137-157, 2002
	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
	Jun Wook Lee , Ok Hyun Paek , Keun Ho Ryu, Temporal moving pattern mining for location-based service, Journal of Systems and Software, v.73 n.3, p.481-490, November-December 2004
	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
	Sam Y. Sung , Zhao Li , Chew L. Tan , Peter A. Ng, Forecasting Association Rules Using Existing Data Sets, IEEE Transactions on Knowledge and Data Engineering, v.15 n.6, p.1448-1459, November 2003
	Jia-Wei Han , Jian Pei , Xi-Feng Yan, From sequential pattern mining to structured pattern mining: a pattern-growth approach, Journal of Computer Science and Technology, v.19 n.3, p.257-279, May 2004
	Kuo-Yu Huang , Chia-Hui Chang, SMCA: A General Model for Mining Asynchronous Periodic Patterns in Temporal Databases, IEEE Transactions on Knowledge and Data Engineering, v.17 n.6, p.774-785, June 2005
	Yingjiu Li , Peng Ning , X. Sean Wang , Sushil Jajodia, Discovering calendar-based temporal association rules, Data & Knowledge Engineering, v.44 n.2, p.193-218, February 2003
	Jian Pei , Jiawei Han , Behzad Mortazavi-Asl , Jianyong Wang , Helen Pinto , Qiming Chen , Umeshwar Dayal , Mei-Chun Hsu, Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach, IEEE Transactions on Knowledge and Data Engineering, v.16 n.11, p.1424-1440, November 2004
	Yong Joon Lee , Jun Wook Lee , Duck Jin Chai , Bu Hyun Hwang , Keun Ho Ryu, Mining temporal interval relational rules from temporal data, Journal of Systems and Software, v.82 n.1, p.155-167, January, 2009
	D. -I. Lin , Z. M. Kedem, Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set, IEEE Transactions on Knowledge and Data Engineering, v.14 n.3, p.553-566, May 2002
	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
	Qi-Yuan Lin , Yen-Liang Chen , Jiah-Shing Chen , Yu-Chen Chen, Mining inter-organizational retailing knowledge for an alliance formed by competitive firms, Information and Management, v.40 n.5, p.431-442, May 2003
	Qing Li , Ling Feng , Allan Wong, From intra-transaction to generalized inter-transaction: landscaping multidimensional contexts in association rule mining, Information Sciences—Informatics and Computer Science: An International Journal, v.172 n.3-4, p.361-395, 9 June 2005
	Keshri Verma , O. P. Vyas, Efficient calendar based temporal association rule, ACM SIGMOD Record, v.34 n.3, September 2005
	Jiong Yang , Wei Wang , Philip S. Yu, Mining Asynchronous Periodic Patterns in Time Series Data, IEEE Transactions on Knowledge and Data Engineering, v.15 n.3, p.613-628, March 2003
	Dan Li , Jitender S. Deogun, Periodic association mining in a geospatial decision support system, Proceedings of the 2006 international conference on Digital government research, May 21-24, 2006, San Diego, California
	Yida Wang , Ee-Peng Lim , San-Yih Hwang, Efficient mining of group patterns from user movement data, Data & Knowledge Engineering, v.57 n.3, p.240-282, June 2006
	Jian-Hua Feng , Qian Qian , Jian-Yong Wang , Li-Zhu Zhou, Efficient mining of frequent closed XML query pattern, Journal of Computer Science and Technology, v.22 n.5, p.725-735, September 2007
	Guozhu Dong , Jinyan Li, Efficient mining of emerging patterns: discovering trends and differences, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.43-52, August 15-18, 1999, San Diego, California, United States
	Jianhua Feng , Qian Qian , Jianyong Wang , Lizhu Zhou, Exploit sequencing to accelerate hot XML query pattern mining, Proceedings of the 2006 ACM symposium on Applied computing, April 23-27, 2006, Dijon, France
	Edi Winarko , John F. Roddick, ARMADA - An algorithm for discovering richer relative temporal association rules from interval-based data, Data & Knowledge Engineering, v.63 n.1, p.76-90, October, 2007
	Wan-Jui Lee , Jung-Yi Jiang , Shie-Jue Lee, Mining fuzzy periodic association rules, Data & Knowledge Engineering, v.65 n.3, p.442-462, June, 2008
	Charu C. Aggarwal , Philip S. Yu, An automated system for web portal personalization, Proceedings of the 28th international conference on Very Large Data Bases, p.1031-1040, August 20-23, 2002, Hong Kong, China
	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
	Ling Feng , Jeffrey Xu Yu , Hongjun Lu , Jiawei Han, A template model for multidimensional inter-transactional association rules, The VLDB Journal — The International Journal on Very Large Data Bases, v.11 n.2, p.153-175, October 2002
	Jiawei Han , Jian Pei, Mining frequent patterns by pattern-growth: methodology and implications, ACM SIGKDD Explorations Newsletter, v.2 n.2, p.14-20, Dec. 2000
	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
	Soumen Chakrabarti , Sunita Sarawagi , Byron Dom, Mining Surprising Patterns Using Temporal Description Length, Proceedings of the 24rd International Conference on Very Large Data Bases, p.606-617, August 24-27, 1998
	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
	Jianyong Wang , Yuzhou Zhang , Lizhu Zhou , George Karypis , Charu C. Aggarwal, CONTOUR: an efficient algorithm for discovering discriminating subsequences, Data Mining and Knowledge Discovery, v.18 n.1, p.1-29, February 2009
	Anjana Kakoti Mahanta , Fokrul Alom Mazarbhuiya , Hemanta K. Baruah, Finding calendar-based periodic patterns, Pattern Recognition Letters, v.29 n.9, p.1274-1284, July, 2008
	Thomas Sudkamp, Refinement of temporal constraints in fuzzy associations, International Journal of Approximate Reasoning, v.48 n.1, p.23-35, April, 2008
	Kuo-Yu Huang , Chia-Hui Chang, Efficient mining of frequent episodes from complex sequences, Information Systems, v.33 n.1, p.96-114, March, 2008
	Wei-Yi Liu , Kun Yue , Shuang-Xian Liu , Yin-Bo Sun, Qualitative-probabilistic-network-based modeling of temporal causalities and its application to feedback loop identification, Information Sciences: an International Journal, v.178 n.7, p.1803-1824, April, 2008
	R. B. V. Subramanyam , A. Goswami , Bhanu Prasad, Mining fuzzy temporal patterns from process instances with weighted temporal graphs, International Journal of Data Analysis Techniques and Strategies, v.1 n.1, p.60-77, August 2008
	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
	Jianyong Wang , Jiawei Han , Chun Li, Frequent Closed Sequence Mining without Candidate Maintenance, IEEE Transactions on Knowledge and Data Engineering, v.19 n.8, p.1042-1056, August 2007
	Syed Khairuzzaman Tanbeer , Chowdhury Farhan Ahmed , Byeong-Soo Jeong , Young-Koo Lee, Mining Regular Patterns in Transactional Databases, IEICE - Transactions on Information and Systems, v.E91-D n.11, p.2568-2577, November 2008
	Guoliang Li , Jianhua Feng , Jianyong Wang , Lizhu Zhou, Incremental sequence-based frequent query pattern mining from XML queries, Data Mining and Knowledge Discovery, v.18 n.3, p.472-516, June 2009
	Tzung-Pei Hong , Yi-Ying Wu , Shyue-Liang Wang, An effective mining approach for up-to-date patterns, Expert Systems with Applications: An International Journal, v.36 n.6, p.9747-9752, August, 2009
	Giovanni Giuffrida , Vincenzo Cantone , Giuseppe Tribulato, An Apriori Based Approach to Improve On-line Advertising Performance, Proceeding of the 2008 conference on Applications of Data Mining in E-Business and Finance, p.51-61, June 26, 2008

Collaborative Colleagues:

Banu Özden: colleagues

Sridhar Ramaswamy: colleagues

Abraham Silberschatz: colleagues

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