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» Efficient Mining of Generalized Negative Association Rules
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SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
13 years 12 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein
DAWAK
2007
Springer
13 years 11 months ago
Extraction of Association Rules Based on Literalsets
In association rules mining, current trend is witnessing the emergence of a growing number of works toward bringing negative items to light in the mined knowledge. However, the amo...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
FQAS
2000
Springer
137views Database» more  FQAS 2000»
13 years 11 months ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 12 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma