Foundations of Rule Learning

Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machin...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Fürnkranz, Johannes (Auteur), Gamberger, Dragan (Auteur), Lavrač, Nada (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Édition:1st ed. 2012.
Collection:Cognitive Technologies,
Sujets:
Data mining.
Artificial intelligence.
Pattern recognition systems.
Computer science.
Statistics .
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Automated Pattern Recognition.
Theory of Computation.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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