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Other titles in the Advanced Information and Knowledge Processing series:
Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing)by Nikhil R. Pal
Synopses & Reviews
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.
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.
The development of techniques to assist in knowledge discovery and validation is becoming increasingly important due to the explosion in Internet use and the terabytes of data generated that need to be analyzed to extract useful knowledge and information. Discovering and validating this knowledge impacts the way businesses operate and the way people work. In presenting the latest and most advanced tools and techniques available for data and web mining strategies, Advanced Techniques in Knowledge Discovery and Data Mining will be welcomed by researchers, engineers and developers involved in knowledge and information management.
Table of Contents
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
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