Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal  Home/Search
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Abstract: The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice, users are often interested in a subset of association rules. For example, they may only want rules that contain a specific item or rules that contain children of a specific item in a hierarchy. While such constraints can be applied as a postprocessing step, integrating them into the mining algorithm can dramatically... (Update)
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BibTeX entry: (Update)
Ramakrishnan Srikant, Quoc Vu, and Rakesh Agrawal. Mining association rules with item constraints. page 67. http://citeseer.ist.psu.edu/761.html More
@inproceedings{ srikant97mining,
author = "Ramakrishnan Srikant and Quoc Vu and Rakesh Agrawal",
title = "Mining Association Rules with Item Constraints",
booktitle = "Proc. 3rd Int. Conf. Knowledge Discovery and Data Mining, {KDD}",
month = "14--17~",
publisher = "AAAI Press",
editor = "David Heckerman and Heikki Mannila and Daryl Pregibon and Ramasamy Uthurusamy",
pages = "67--73",
year = "1997",
url = "citeseer.ist.psu.edu/761.html" }
Citations (may not include all citations):400 Fast Discovery of Association Rules (context) - Agrawal, Mannila et al. - 1996
213 Discovery of multiple-level association rules from large dat.. - Han, Fu - 1995
189 Sampling large databases for association rules - Toivonen - 1996
115 Scalable parallel data mining for association rules - Han, Karypis et al. - 1997
56 Parallel mining of association rules - Agrawal, Shafer - 1996
9 and Swami (context) - Agrawal, Imielinski - 1993
1 and Viveros (context) - Nearhos, Rothman - 1996
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