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» A Framework for Data Mining Pattern Management
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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
14 years 9 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
CLEIEJ
2004
168views more  CLEIEJ 2004»
13 years 9 months ago
Contributions of KDD to the Knowledge Management Process: a Case Study
Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is ...
Paulo de Tarso Costa de Sousa, Hércules Ant...
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 9 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
14 years 1 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
ICMLA
2004
13 years 10 months ago
Mining interesting contrast rules for a web-based educational system
Web-based educational technologies allow educators to study how students learn (descriptive studies) and which learning strategies are most effective (causal/predictive studies). ...
Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. ...