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» Constraint-Based Rule Mining in Large, Dense Databases
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VLDB
1995
ACM
195views Database» more  VLDB 1995»
13 years 9 months ago
Discovery of Multiple-Level Association Rules from Large Databases
Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more spe...
Jiawei Han, Yongjian Fu
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
13 years 9 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
DAWAK
2004
Springer
13 years 10 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 6 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa