Advanced Techniques in Knowledge Discovery and Data Mining

• Main Authors: Pal, Nikhil R, Jain, Lakhmi
• Format: eBook
• Language: English
• Published: London Springer Verlag London Limited 2005; Springer London, Limited; Springer London; Springer
• Edition: 1. Aufl.
• Series: Advanced Information and Knowledge Processing
• Subjects: Algorithm Analysis and Problem Complexity; Computer Science; Data mining; Data Structures; Data Structures and Information Theory; Database Management; Expert systems (Computer science); Information; Information acquisition; Information Systems Applications (incl. Internet); Knowledge management; Methodology; Transmission of knowledge; Computer Sonstiges
• ISBN: 1852338679; 9781852338671; 1447157524; 9781447157526
• DOI: 10.1007/1-84628-183-0

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 discoveryAdvanced data mining techniques in semi-conductor manufacturingClustering and visualization in retail markets basketsSegmentation of continuous dataInstance selection using evolutionary algorithmsCooperative co-evolution for data mining of Bayesian networksKnowledge discovery and data mining in medicineSatellite image classificationKnowledge discovery using rough setsThis 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.