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» Mining Association Rules with Item Constraints
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TCS
2008
13 years 7 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
PODS
2003
ACM
156views Database» more  PODS 2003»
14 years 7 months ago
Limiting privacy breaches in privacy preserving data mining
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
Alexandre V. Evfimievski, Johannes Gehrke, Ramakri...
FIMI
2003
210views Data Mining» more  FIMI 2003»
13 years 8 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj
EACL
1993
ACL Anthology
13 years 8 months ago
LFG Semantics via Constraints
Semantic theories of natural language associate meanings with utterances by providing meanings for lexical items and rules for determining the meaning of larger units given the me...
Mary Dalrymple, John Lamping, Vijay A. Saraswat
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 7 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu