Advanced Techniques in Knowledge Discovery and Data Mining

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

Inhalt
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.