Advanced Techniques in Knowledge Discovery and Data Mining

This 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.