Advanced techniques in knowledge discovery and data mining / Nikhil R. Pal and Lakhmi Jain (Eds.).

Contributor(s): Jain, L. C | Pal, Nikhil RSeries: Advanced information and knowledge processingPublisher: New York : Springer-Verlag, 2005Description: xii, 254 p. : ill. ; 24 cmISBN: 1852338679 (alk. paper)Subject(s): Data mining | Knowledge acquisition (Expert systems)DDC classification: 006.312,ADV Online resources: Publisher description | Table of contents only
Contents:
Trend in data Mining and Knowledge Discovery (Page-1), Advanced Methods for the analysis of semiconductor manufacturing process data (Page-270, Clustering and Visualization of retail market baskets (Page-75), Segmentation of continuous data streams based on a change detection methodology (Page-103), Instance selection using evolutionary algorithms: An Experimental Study (Page-127), Using Cooperative Co evolution for data mining of Bayesian Networks (Page-153), Knowledge Discovery and Data Mining in Medicine (Page-177), Satellite Image Classification using Cascaded Architecture of Neural Fuzzy Networks (Page-2110, Discovery of Positive and Negative rules from Medical Databases Based on Rough Sets (Page-233).
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Item type Current location Home library Shelving location Call number URL Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 006.312,ADV (Browse shelf) Link to resource Available Almirah No.7, Shelf No.3 MCS32500
Total holds: 0

Trend in data Mining and Knowledge Discovery (Page-1), Advanced Methods for the analysis of semiconductor manufacturing process data (Page-270, Clustering and Visualization of retail market baskets (Page-75), Segmentation of continuous data streams based on a change detection methodology (Page-103), Instance selection using evolutionary algorithms: An Experimental Study (Page-127), Using Cooperative Co evolution for data mining of Bayesian Networks (Page-153), Knowledge Discovery and Data Mining in Medicine (Page-177), Satellite Image Classification using Cascaded Architecture of Neural Fuzzy Networks (Page-2110, Discovery of Positive and Negative rules from Medical Databases Based on Rough Sets (Page-233).

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