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» Ontology-Enhanced Association Mining
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VLDB
1995
ACM
195views Database» more  VLDB 1995»
14 years 1 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
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 10 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
DEXA
2004
Springer
190views Database» more  DEXA 2004»
14 years 3 months ago
On Efficient and Effective Association Rule Mining from XML Data
: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently and effectively. In XAR-Miner, raw XML data are first transformed to either...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Mi...
TKDE
2008
139views more  TKDE 2008»
13 years 9 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
ICASSP
2010
IEEE
13 years 7 months ago
Mining actor correlations with hierarchical concurrence parsing
Mining actor correlations from TV series enables semanticlevel video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graphbas...
Kun Yuan, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun