Presents the latest and most advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. Provides practicing engineers and scientists with case studies using most recent approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. This book will be welcomed by researchers, engineers and developers involved in knowledge, and information management.
Clear and concise explanations to understand the learning paradigms Chapters written by leading world experts A highly practical book
Nikhil Pal
Bayesian network Internet algorithms architecture calculus classification clustering data mining database databases evolution evolutionary algorithm knowledge discovery networks visualization
From the reviews:
"This book presents research on some of the recent advances in the field of DMKD, and provides a glimpse into some real-world applications. … book starts with a preface by the editors, including background information as well as an overview of the book’s contents. … The overall layout and the length of the volume … appear to be satisfactory. … postgraduate students and the faculty members in the business intelligence or DMKD fields would find this volume to be a useful addition to their libraries." (C. S. Arora, Computing Reviews, April, 2006)