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» An Associative Memory for Association Rule Mining
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ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 9 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
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
14 years 9 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 9 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
ICDM
2006
IEEE
115views Data Mining» more  ICDM 2006»
14 years 1 months ago
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Yuefeng Li, Wanzhong Yang, Yue Xu
CIKM
2001
Springer
14 years 1 days ago
Ordinal Association Rules for Error Identification in Data Sets
A new extension of the Boolean association rules, ordinal association rules, that incorporates ordinal relationships among data items, is introduced. One use for ordinal rules is ...
Andrian Marcus, Jonathan I. Maletic, King-Ip Lin