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Abstract: The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data. To that end, we describe a framework for generalizing support that is based on the simple, but useful observation that support can be viewed as the composition of two functions: a function that evaluates the strength or presence of a pattern in each object (transaction) and a function that summarizes these evaluations ... (Update)
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1.8: Generalizing the Notion of Support - Steinbach, Tan, Xiong, Kumar (2004) (Correct)
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BibTeX entry: (Update)
@misc{ dept-generalizing,
author = "Michael Steinbach Dept",
title = "Generalizing the Notion of Support",
url = "citeseer.ist.psu.edu/750162.html" }
Citations (may not include all citations):910 Fast algorithms for mining association rules - Agrawal, Srikant - 1994
340 Mining sequential patterns - Agrawal, Srikant - 1995
225 Data Mining: Concepts and Techniques (context) - Han, Kamber - 2000
121 Mining association rules with item constraints - Srikant, Vu et al. - 1997
117 Applied Numerical Linear Algebra (context) - Demmel - 1997
56 Algorithms for association rule mining -- a general survey a.. - Hipp, Guntzer et al. - 2000
25 Can we push more constraints into frequent pattern mining (context) - Pei, Han - 2000
16 Theoretical foundations of association rules - Zaki, Ogihara - 1998
8 cient discovery of error-tolerant frequent itemsets in high .. (context) - Yang, Fayyad et al. - 2001
8 Alternative interest measures for mining associations in dat.. (context) - Omiecinski - 2003
4 nity association patterns in data sets with skewed support d.. (context) - Xiong, Tan et al. - 2003
4 Min-apriori: An algorithm for finding association rules in d.. - Han, Karypis et al. - 1997
2 Army High Performance Computing Research Center (context) - Steinbach, Tan et al. - 2004
2 A theoretical framework for association mining based on the .. (context) - Bollmann-Sdorra, Hafez et al. - 2001
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