Advanced techniques in knowledge discovery and data mining /

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Bibliographic Details
Imprint:New York : Springer-Verlag, 2004.
Description:1 online resource (xii, 254 p.) : ill.
Language:English
Series:Advanced information and knowledge processing
Advanced information and knowledge processing.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8876399
Hidden Bibliographic Details
Other authors / contributors:Pal, Nikhil R.
Jain, L. C.
ISBN:1852338679 (alk. paper)
9781852338671 (alk. paper)
9781846281839
1846281830
6611180605
9786611180607
Notes:Includes bibliographical references and index.
Description based on print version record.
Summary:"The information explosion has necessitated the development of intelligent tools for extracting useful knowledge from data. This book presents research on some of the most recent advances in data mining and knowledge discovery, and provides the theory as well as its applications on practical real world problems. In addition, the methodologies discussed encompass tools like Bayesian networks as well as major facets of computational intelligence paradigms such as neural networks, evolutionary computing, neuro-fuzzy computing and rough sets." "Advanced Techniques in Data Mining and Knowledge Discovery presents both practical detail and some of the most up-to-date theory in the field, which would be useful for postgraduate students, researchers, application engineers and professors who wish to develop applications using advanced data mining and knowledge discovery techniques."--Jacket.
Other form:Print version: Advanced techniques in knowledge discovery and data mining. New York : Springer-Verlag, 2004 1852338679 9781852338671

MARC

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505 0 |a Front Matter; 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. 
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