Foundations of Rule Learning

• Κύριοι συγγραφείς: Fürnkranz, Johannes (Συγγραφέας), Gamberger, Dragan (Συγγραφέας), Lavrač, Nada (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Σειρά: Cognitive Technologies,
• Θέματα: Computer science.; Computers.; Data mining.; Artificial intelligence.; Pattern recognition.; Statistics.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Computation by Abstract Devices.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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...