Pal N. (Ed.) Advanced Techniques in Knowledge Discovery and Data Mining

Springer – 2005, 272 p.
ISBN: 1852338679, 9781852338671This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: - Recent trends in data mining and knowledge discovery - Advanced data mining techniques in semi-conductor manufacturing - Clustering and visualization in retail markets baskets - Segmentation of continuous data - Instance selection using evolutionary algorithms - Cooperative co-evolution for data mining of Bayesian networks - Knowledge discovery and data mining in medicine - Satellite image classification - Knowledge discovery using rough sets This book presents both practical detail and some of the most up-to-date theory in the field, useful for postgraduates and those who wish to develop applications using advanced data mining and knowledge discovery techniques.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