Sciweavers

150 search results - page 2 / 30
» Obtaining and Evaluating Generalized Association Rules
Sort
View
IEAAIE
2005
Springer
13 years 11 months ago
Mining Generalized Association Rules on Biomedical Literature
The discovery of new and potentially meaningful relationships between concepts in the biomedical literature has attracted the attention of a lot of researchers in text mining. The ...
Margherita Berardi, Michele Lapi, Pietro Leo, Corr...
AUSAI
2004
Springer
13 years 9 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
APIN
2008
116views more  APIN 2008»
13 years 5 months ago
Updating generalized association rules with evolving taxonomies
Abstract-Mining generalized association rules between items in the presence of taxonomy has been recognized as an important model in data mining. Earlier work on mining generalized...
Ming-Cheng Tseng, Wen-Yang Lin, Rong Jeng
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 7 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
DATAMINE
2002
104views more  DATAMINE 2002»
13 years 5 months ago
Cubegrades: Generalizing Association Rules
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...