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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ian H. Witten
Άλλοι συγγραφείς: Ian H. Witten; Eibe Frank; Mark A. Hall
Γλώσσα:Undetermined
English
Έκδοση: Burlington, MA Morgan Kaufmann 2011
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Trà Vinh
Περιγραφή
Περίληψη: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
Φυσική περιγραφή:xxxiii, 629 p.
ill.
24 cm
ISBN:0123748569
9780123748560