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eBooks :: Kembali

Foundations of rule learning

Johannes Furnkranz, Dragan Gamberger, Nada Lavrac (Springer-Verlag, 2012)

 Abstrak

This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.

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 Metadata

Jenis Koleksi : eBooks
No. Panggil : e20407972
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Berlin: Springer-Verlag, 2012
Sumber Pengatalogan:
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik:
Tautan: http://link.springer.com/book/10.1007%2F978-3-540-75197-7
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