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Witten, I.H. (Ian H.), author

Part I. Machine Learning Tools and Techniques: 1. What?s iIt all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what?s been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble...

Amsterdam: Elsevier , 2011

006.312 WIT d

Buku Teks  Universitas Indonesia Library

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