Ian H. Witten

Data Mining

Practical Machine Learning Tools and Techniques

Ebook (EPUB Format)

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field sin… Mehr

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Produktdetails

Weitere Autoren: Frank, Eibe / Hall, Mark A. / Pal, Christopher J.

ISBN: 978-0-12-804357-8
EAN: 9780128043578
Produktnummer: 35986146
Verlag: Elsevier Science & Techn.
Sprache: Englisch
Erscheinungsjahr: 2016
Seitenangabe: 654 S.
Plattform: EPUB
Auflage: 4. Auflage

Über 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.