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CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 7 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
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 1 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 8 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
JUCS
2006
102views more  JUCS 2006»
13 years 7 months ago
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table
Abstract: In this paper, we survey efforts devoted to discovering interesting exceptions from data in data mining. An exception differs from the rest of data and thus is interestin...
Einoshin Suzuki
HAIS
2009
Springer
13 years 11 months ago
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness
Abstract. Data Mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binaryvalued transactions, however the d...
Nicolò Flugy Papè, Jesús Alca...