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» Discovering significant rules
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CAIP
2009
Springer
128views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Significance Tests and Statistical Inequalities for Segmentation by Region Growing on Graph
Bottom-up segmentation methods merge similar neighboring regions according to a decision rule and a merging order. In this paper, we propose a contribution for each of these two po...
Guillaume Née, Stéphanie Jehan-Besso...
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
14 years 7 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
GRC
2005
IEEE
14 years 1 months ago
Discovering and ranking important rules
— Decision rules generated from reducts can fully describe a data set. We introduce a new method of evaluating rules by taking advantage of rough sets theory. We consider rules g...
Jiye Li, Nick Cercone
BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
13 years 11 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen