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PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
13 years 9 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
IDA
2002
Springer
13 years 4 months ago
Measuring the accuracy and interest of association rules: A new framework
It has been pointed out that the usual framework to assess association rules, based on support and confidence as measures of importance and accuracy, has several drawbacks. In part...
Fernando Berzal Galiano, Ignacio J. Blanco, Daniel...
WISE
2002
Springer
13 years 9 months ago
Discovering Associations in XML Data
—Knowledge inference from semi-structured data can utilize frequent sub structures, in addition to frequency of data items. In fact, the working assumption of the present study i...
Amnon Meisels, Michael Orlov, Tal Maor
SSD
1995
Springer
146views Database» more  SSD 1995»
13 years 8 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 5 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik