Advanced Techniques in Knowledge Discovery and Data Mining

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pal, Nikhil R. (Editor), Jain, Lakhmi (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Data structures (Computer science).; Algorithms.; Database management.; Computer Science.; Data Structures, Cryptology and Information Theory.; Data Structures.; Database Management.; Information Systems Applications (incl. Internet).; Algorithm Analysis and Problem Complexity.

Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like ho...

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.