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SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
12 years 9 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
DMIN
2006
103views Data Mining» more  DMIN 2006»
13 years 8 months ago
Modeling of the counter-examples and association rules interestingness measures behavior
Association rules discovery is one of the most important tasks in Knowledge Discovery in Data Bases. Since the initial APRIORI algorithm, many efforts have been done in order to de...
Benoît Vaillant, Stéphane Lallich, Ph...
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
14 years 1 days ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
13 years 11 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
ACSW
2004
13 years 8 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick