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» Itemset Materializing for Fast Mining of Association Rules
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APIN
2008
116views more  APIN 2008»
14 years 11 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
83
Voted
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 3 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 3 months ago
Mining Association Rules with Item Constraints
The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice...
Ramakrishnan Srikant, Quoc Vu, Rakesh Agrawal
FSKD
2005
Springer
90views Fuzzy Logic» more  FSKD 2005»
15 years 4 months ago
Direct Candidates Generation: A Novel Algorithm for Discovering Complete Share-Frequent Itemsets
The value of the itemset share is one way of evaluating the magnitude of an itemset. From business perspective, itemset share values reflect more the significance of itemsets for m...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
DATAMINE
2008
89views more  DATAMINE 2008»
14 years 11 months ago
Mining conjunctive sequential patterns
Abstract. In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative examp...
Chedy Raïssi, Toon Calders, Pascal Poncelet