CLIP3 - COVER LEARNING USING INTEGER PROGRAMMING

Citation
Kj. Cios et al., CLIP3 - COVER LEARNING USING INTEGER PROGRAMMING, Kybernetes, 26(4-5), 1997, pp. 513
Citations number
29
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics
Journal title
ISSN journal
0368492X
Volume
26
Issue
4-5
Year of publication
1997
Database
ISI
SICI code
0368-492X(1997)26:4-5<513:C-CLUI>2.0.ZU;2-7
Abstract
Presents an inductive machine learning algorithm called CLIPS (Cover l earning using integer programming). CLIPS is an extension of the CLILP 2 algorithm. CLIP3 generates multiple rules for a given concept from t wo sets of discrete attribute data. It combines the best concepts of t ree-based and rule-based algorithms to produce a highly reliable machi ne-learning algorithm. The algorithm is run on the benchmark ''MONK's data sets''. Compares the results of standard machine learning algorit hms such as the ID and AQ families of algorithms. The algorithm is als o run on the breast cancer data set and the results are compared with C4.5 algorithm results.