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» Mining Optimized Gain Rules for Numeric Attributes
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KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 8 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 5 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
PODS
1996
ACM
102views Database» more  PODS 1996»
13 years 8 months ago
Mining Optimized Association Rules for Numeric Attributes
Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morish...
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
14 years 5 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
KDD
1998
ACM
131views Data Mining» more  KDD 1998»
13 years 8 months ago
Interestingness-Based Interval Merger for Numeric Association Rules
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
Ke Wang, Soon Hock William Tay, Bing Liu