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» Itemset Materializing for Fast Mining of Association Rules
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TCS
2008
14 years 11 months ago
Itemset frequency satisfiability: Complexity and axiomatization
Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...
Toon Calders
91
Voted
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
15 years 11 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
102
Voted
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
15 years 5 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
ACIIDS
2009
IEEE
162views Database» more  ACIIDS 2009»
15 years 4 months ago
Deriving Conceptual Schema from XML Databases
In this paper, two concepts from different research areas are addressed together, namely functional dependency (FD) and multidimensional association rule (MAR). FD is a class of i...
Oviliani Yenty Yuliana, Suphamit Chittayasothorn
103
Voted
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 2 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith