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 applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work o...

詳細記述

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書誌詳細
第一著者: Ian H. Witten
その他の著者: Ian H. Witten; Eibe Frank; Mark A. Hall
言語:Undetermined
English
出版事項: Burlington, MA Morgan Kaufmann 2011
主題:
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Trà Vinh
その他の書誌記述
要約: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
物理的記述:xxxiii, 629 p.
ill.
24 cm
ISBN:0123748569
9780123748560