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data mining practical machine learning tools and techniques



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6 Practical Books for Beginning Machine Learning | Machine .

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Data Mining: Practical Machine Learning Tools and Techniques

We have written a companion book for the Weka software, now into its third edition, that describes the machine learning techniques that it implements and how.

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Data Mining: Practical Machine Learning Tools and Techniques .

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) [Ian H. Witten, Eibe.

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RWeka citation info

Data Mining: Practical Machine Learning Tools and Techniques. @Article{, title = {Open-Source Machine Learning: {R} Meets {Weka}}, author = {Kurt Hornik.

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Data mining - Wikipedia, the free encyclopedia

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Explains how data mining algorithms work. Helps you select appropriate approaches to particular problems and to compare and evaluate the results of different.

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1 Jun 2005 . Data Mining has 200 ratings and 22 reviews. Todd said: This is an excellent, but somewhat uneven, introduction to the field of machine learning.

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Data Mining: Practical Machine Learning Tools and Techniques

Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on.

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Häftad, 2011. Pris 420 kr. 1 recension. Köp Data Mining: Practical Machine Learning Tools and Techniques (9780123748560) av Ian H Witten, Eibe Frank, Mark.

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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems).

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29 Sep 2006 . Data Mining: Practical Machine Learning Tools and Techniques. San Francisco: Morgan Kaufmann Publishers. 2nd edition. 2005. 560 pp.

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13 Jul 2005 . As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype.

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Data Mining: Practical Machine Learning Tools and Techniques

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An Introduction to the WEKA Data Mining System - Computer .

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