Foundations of rule learning
Johannes Furnkranz, Dragan Gamberger, Nada Lavrac (Springer-Verlag, 2012)
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| 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. |
 Foundations of Rule Learning.pdf :: Unduh
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| No. Panggil : | e20407972 |
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| Penerbitan : | Berlin: Springer-Verlag, 2012 |
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| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
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| Tautan: | http://link.springer.com/book/10.1007%2F978-3-540-75197-7 |
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| No. Panggil | No. Barkod | Ketersediaan |
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| e20407972 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20407972 |
