This book introduces the reader to Data Mining from the view points of business analysts and business professionals. Data Mining is discussed in a business context. It is not a mathematical book beyond the reach of managers. It provides a good mix of managerial as well as technical issues illustrated by real world cases and examples. For the Manager it illustrates the strategic and operational potential use of Data Mining. For the technical analysts, it has a good review of Data Mining techniques. It also covers the integration of Data Mining with Data Warehouse, OLAP, Decision Support Systems, and E-Commerce using traditional as well as emerging Soft Computing and Agent-based technologies. The author also explores the future challenges and opportunities for DM. The book Can be can be useful in both academic as well as professional class rooms. This book is interesting to anyone who is interested in the business applications of Data Mining. The book is very well written and easy to read. Over all I strongly recommend the book.
– Bijan Fazlollahi, Georgia State University,USA
The adage "knowledge is power" is widely accepted in the corporate circles, and tremendous amounts of data has been and is being accumulated towards the goal of acquiring more knowledge. But corporates are increasingly realizing that there is a wide gap between "data" and "knowledge". Data warehousing and data mining provide the techniques to refine and distill data into knowledge that can support enterprise decision making processes. This book provides a timely account of data warehousing and data mining applications for the organizations. It provides a balanced coverage of technical and organizational aspects of these techniques, supplemented by case studies of real commercial applications. Managers, practitioners, and research-oriented personnel can all benefit from the many illuminating chapters written by experts in the field.
– Fereidoon Sadri, University of North Carolina, USA