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» Mining Frequent Itemsets from Uncertain Data
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ICDE
2004
IEEE
115views Database» more  ICDE 2004»
14 years 9 months ago
Go Green: Recycle and Reuse Frequent Patterns
In constrained data mining, users can specify constraints that can be used to prune the search space to avoid mining uninteresting knowledge. Since it is difficult to determine th...
Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. ...
PR
2007
81views more  PR 2007»
13 years 7 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
14 years 8 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 8 months ago
Succinct summarization of transactional databases: an overlapped hyperrectangle scheme
Transactional data are ubiquitous. Several methods, including frequent itemsets mining and co-clustering, have been proposed to analyze transactional databases. In this work, we p...
Yang Xiang, Ruoming Jin, David Fuhry, Feodor F. Dr...
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
14 years 2 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 ...