Data Mining: Practical Machine Learning Tools and Techniques, Second Edition

(Brent) #1

About the authors


Ian H. Witten is a professor of computer science at the University
of Waikato in New Zealand. He is a fellow of the Association for Computing
Machinery and the Royal Society of New Zealand. He received the 2004 IFIP
Namur Award, a biennial honor accorded for outstanding contribution with
international impact to the awareness of social implications of information and
communication technology. His books include Managing gigabytes(1999) and
How to build a digital library(2003), and he has written many journal articles
and conference papers.

Eibe Frankis a senior lecturer in computer science at the University of Waikato.
He has published extensively in the area of machine learning and sits on the edi-
torial boards of the Machine Learning Journaland the Journal of Artificial Intel-
ligence Research.He has also served on the programming committees of many
data mining and machine learning conferences. As one of the core developers
of the Weka machine learning software that accompanies this book, he enjoys
maintaining and improving it.

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