Data Mining Opportunities and Challenges

Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countries.

Data Mining Opportunities and Challenges

John Wang

Nxb. Idea Group Publishing

2003

Abstract

Data Mining: Opportunities and Challenges offers an up-to-date view on the data mining area by presenting research and development activities and results obtained from the analysis of structured, semi-structured, and unstructured data sources such as text documents, web pages, and databases.

This book is a very valuable guide into the field of Data Mining. Addressing theoretical issues and tools from Bayesian Reasoning through Rough Sets to Self-Organizing Maps along with a penetrating look at applications from HealthCare to Banking and Finances, it allows the reader to become acquainted with the state-of-the-art in Data Mining by a group of eminent specialists in this area. It will guide the reader directly to the hearth of the rich world of theory and applications of Data Mining. I am confident that it will become a good companion to any researcher and student in this field.