Ian H. Witten

Data Mining

Practical Machine Learning Tools and Techniques, Second Edition

Ebook (EPUB Format)

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, progr… Mehr

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V221: Noch nicht erschienen, Dezember 2022

Produktdetails

Weitere Autoren: Frank, Eibe

ISBN: 978-0-08-047702-2
EAN: 9780080477022
Produktnummer: 35968506
Verlag: Elsevier Science & Techn.
Sprache: Englisch
Erscheinungsjahr: 2005
Seitenangabe: 560 S.
Plattform: EPUB
Auflage: 2. 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.