"The book provides a comprehensive overview of available approaches, techniques, open problems and applications related to data warehousing and mining. It will become, without any doubts, a major source of information for practitioners, researchers, and students interested in this relatively new exciting field."
– Dr. Zbigniew W. Ras, Professor and KDD Laboratory Director, University of North Carolina, Charlotte, USA
"With its tremendous coverage, I believe that the book will become an invaluable research resource and important reference in this field."
– Zhi-Hua Zhou, Professor, LAMDA Group, National Key Laboratory for Novel Software Technology, Nanjing University, China
"The book is an excellent reference for students, researchers, and practitioners alike. Its coverage of a broad range of topics from both theoretical and application-oriented perspectives makes it the place to start when learning any topic within data mining. The book is ideal for researchers and practitioners due to its unusually broad coverage of topics from both theoretical and application-oriented perspectives."
– Nikunj C. Oza, Intelligent Systems Division, NASA Ames Research Center, USA.
The book will be a fundamental point of reference for scientific research and student learning in this area vital in the leadership for the near future in science and engineering.
– José A. Moreno, Professor, University of La Laguna, Dept of Statistics, O.R. and Computation, Spain
"Each article concludes with a list of references and a helpful list of keywords and their definitions. The articles are written in an exploratory style, each including sections of introduction, background, future trends, and conclusion making the work especially suitable for college students and researchers."
– Book News Inc. (December 2008)
"The collection appears to be incredibly authoritative and professional, while conveying a broad and thorough range of viewpoints. The Encyclopedia is an excellant source of information for researchers interested in any aspect of data warehousing and mining, or by researchers struggling to extract meaning from large collections of data."
– American Reference Books Annual, Vol. 40 (2009)
"This book is a collection of 332 invited contributions in the area of data warehousing and data mining. The scope of the entries is very broad, encompassing the whole field - every topic is probably included somewhere."
– Online Information Review (2009)