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DAWAK
2008
Springer
15 years 6 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 5 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
ICDE
2000
IEEE
118views Database» more  ICDE 2000»
16 years 6 months ago
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement
Despite the overwhelming amounts of multimedia data recently generated and the significance of such data, very few people have systematically investigated multimedia data mining. ...
Hua Zhu, Jiawei Han, Osmar R. Zaïane
IJSWIS
2007
133views more  IJSWIS 2007»
15 years 4 months ago
Association Rule Ontology Matching Approach
This paper presents a hybrid, extensional and asymmetric matching approach designed to find out semantic relations (equivalence and subsumption) between entities issued from two ...
Jérôme David, Fabrice Guillet, Henri ...
BMCBI
2006
114views more  BMCBI 2006»
15 years 4 months ago
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background: AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investig...
Qingfeng Chen, Yi-Ping Phoebe Chen