Morgan Kauffman
“This book provides a comprehensive and much needed introduction to the field by one of its foremost experts. It is beautifully written and presents a unifying framework capturing a wide range of techniques for processing symbolic, numerical, and probabilistic information.”
–Bart Selman, Cornell University
Wiley
“This book provides an extremely useful introduction to the intellectually stimulating problems of data mining electronic business.”
— Andreas S. Weigend (Chief Scientist, Amazon.com)
MIT Press
“This is a very good book, written with a high level of erudition and insight.”
— Gustavo A. Stolovitzky, Physics Today
MIT Press
“Principles of Data Mining is a well-thought-out lucid introduction to data mining principles and techniques that is a pleasure to read. It would be a worthy addition to your bookshelf.”
–Ashish P. Sanil, National Institute of Statistical Sciences, from the Journal of the American Statistical Association
CRC Press
“Bayesian Data Analysis is easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods.”
–Prof. David Blackwell, Department of Statistics, University of California, Berkeley
MIT Press
“What we will become remains intriguing and ominous, making this probing book a valuable contribution to thinking about our future.”
— Steven R. Quartz, American Scientist
Cambridge University Press
“Writing a book such as this was a challenging remit and one that the authors have achieved with great success.”
— Human Genomics
