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GECCO
2004
Springer
14 years 3 months ago
Experimental Evaluation of Discretization Schemes for Rule Induction
This paper proposes an experimental evaluation of various discretization schemes in three different evolutionary systems for inductive concept learning. The various discretization...
Jesús S. Aguilar-Ruiz, Jaume Bacardit, Fede...
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
14 years 7 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
CIKM
2010
Springer
13 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
IDA
2006
Springer
13 years 9 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...
PAKDD
2001
ACM
121views Data Mining» more  PAKDD 2001»
14 years 2 months ago
Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
Pedro de Almeida