Data Mining : Practical Machine Learning Tools and Techniques
Frank, Eibe, Hall, Mark A., Witten, Ian H.
ISBN 10: 0123748569 ISBN 13: 9780123748560
Verlag: Elsevier Science & Technology, 2011
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Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Bestandsnummer des Verkäufers 4268742-6
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Data Mining: Practical Machine Learning Tools and Techniques 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. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
Über die Autorin bzw. den Autor: Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography. He has written several books, the latest being Managing Gigabytes (1999) and Data Mining (2000), both from Morgan Kaufmann.
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Titel: Data Mining : Practical Machine Learning ...
Verlag: Elsevier Science & Technology
Erscheinungsdatum: 2011
Einband: Softcover
Zustand: Good
Auflage: 3rd Edition.
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Data Mining: Practical Machine Learning Tools and Techniques
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Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
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Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
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Data Mining : Practical Machine Learning Tools and Techniques
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Elsevier Science & Technology, 2011
ISBN 10: 0123748569
ISBN 13: 9780123748560
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Data Mining : Practical Machine Learning Tools and Techniques
Verlag:
Elsevier Science & Technology, 2011
ISBN 10: 0123748569
ISBN 13: 9780123748560
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Softcover
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
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Zustand: Very Good. 3rd Edition. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Artikel-Nr. 4374297-75
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