| An approach to discovering temporal association rules |
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Symposium on Applied Computing
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Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
table of contents
Como, Italy
Pages: 294 - 300
Year of Publication: 2000
ISBN:1-58113-240-9
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Authors
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Juan M. Ale
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Facultad de Ciencias Exactas, UNLP, Argentina, and UNLM, Ambrosetti 255 -(1405)Buenos Aires, Argentina
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Gustavo H. Rossi
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LIFIA, Facultad de Informática, UNLP, Argentina and CONICET and UNLM, Calles 1 y 49 - La Plata, Argentina
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Downloads (6 Weeks): 13, Downloads (12 Months): 112, Citation Count: 13
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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.
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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
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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
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Agrawal, R.-Srikent, R.: Fast Algorithms for Mining Association Rules. IBM Res. Rep. RJ9839, IBM Almaden. June 1994.
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Claudio Bettini , X. Sean Wang , Sushil Jajodia, Testing complex temporal relationships involving multiple granularities and its application to data mining (extended abstract), Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, p.68-78, June 04-06, 1996, Montreal, Quebec, Canada
[doi> 10.1145/237661.237680]
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Chert, X.-Petrounias, l.-Heathfielci,H.: Discovering Temporal Association Rules in Temporal Databases. Proc. Int'l Workshop IADT'98. July 1998.
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Kimball, Ralph: The Data Warehouse Toolkit. John Wiley & Sons. 1996.
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Mannila, H.-Toivonen, H.-Verkamo, I: Discovering Frequent Episodes in Sequences. KDD'95. AAAI: 210-215. August 1995.
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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
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Tansel, A.-Ayan, N.: Discovery of Association Rules in Temporal Databases. Fourth lnt'l Conference on KDD Workshop on Distributed Data Mining. August 1998.
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Abdullah Uz Tansel , James Clifford , Shashi Gadia , Sushil Jajodia , Arie Segev , Richard Snodgrass, Temporal databases: theory, design, and implementation, Benjamin-Cummings Publishing Co., Inc., Redwood City, CA, 1993
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CITED BY 13
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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
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