Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank and Mark A. Hall
Material type:
TextPublication details: Amsterdam : Elsevier Science, c2011Edition: THIRD EDITIONDescription: xxxiii, 629 pages : illustrations ; 24 cmISBN: - 9780123748560
- QA 76.9.D343 .W58 2011
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National University - Manila | LRC - Graduate Studies General Circulation | Gen. Ed. - CCIT | GC QA 76.9.D343 .W58 2011 (Browse shelf(Opens below)) | c.1 | Available | NULIB000009208 |
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| GC QA 76.9.D38 .H36 2012 Data mining : concepts and techniques / | GC QA 76.9.D343 .C53 2015 Data mining algorithms explained using R / | GC QA 76.9.D343 .R87 2014 Mining the social web : data mining facebook, twitter, linkedin, google+, github and more / | GC QA 76.9.D343 .W58 2011 Data mining : practical machine learning tools and techniques / | GC QA 76.9.H85 K554 2015 Human-computer interaction : fundamentals and practice / | GC QA 76.9.M35 .M36 2014 Data structures and algorithms with JavaScript : bringing classic computing approaches to the web / | GC QA 76.9.N38 .P87 2013 Natural language annotation for machine learning / |
Includes bibliographical references and index.
Part I. Introduction -- Part II. Advanced data mining -- Part III. The Weka data mining workbench.
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition , offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations.
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