Clear and concise explanations to understand the learning paradigms.

Chapters written by leading world experts.

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)

Trends in Data Mining and Knowledge Discovery Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data Clustering and visualization of Retail Market Baskets Segmentation Of Continuous Data Streams Based on a Change Detection Methodology Instance Selection Using Evolutionary Algorithms: An Experimental Study Using Cooperative Coevolution for Data Mining of Bayesian Networks Knowledge Discovery and Data Mining in Medicine Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network Discovery of Positive and Negative Rules from Medical Databases based on Rough Sets