Advanced Techniques in Knowledge Discovery and Data Mining (eBook, PDF)

Redaktion: Pal, Nikhil

• Format: PDF

Produktbeschreibung

Presents the latest and most advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. Provides practicing engineers and scientists with case studies using most recent approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. This book will be welcomed by researchers, engineers and developers involved in knowledge, and information management.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 256
• Erscheinungstermin: 31. Dezember 2007
• Englisch
• ISBN-13: 9781846281839
• Artikelnr.: 37342080

Autorenporträt

Nikhil Pal, Indian Statistical Institute, Calcutta, India / Lakhmi C. Jain, University of South Australia, Adelaide, SA. Australia

Inhaltsangabe

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.

Rezensionen

From the reviews:

"This book presents research on some of the recent advances in the field of DMKD, and provides a glimpse into some real-world applications. ... book starts with a preface by the editors, including background information as well as an overview of the book's contents. ... The overall layout and the length of the volume ... appear to be satisfactory. ... postgraduate students and the faculty members in the business intelligence or DMKD fields would find this volume to be a useful addition to their libraries." (C. S. Arora, Computing Reviews, April, 2006)