Advanced methods for knowledge discovery from complex data

"With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It wil...

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Other Authors: Bandyopadhyay, Sanghamitra, 1974-, SpringerLink (Online service)
Format: eBook
Language: English
Published: [New York] ; [London] : Springer, ©2005.
[New York] ; [London] : [2005]
Physical Description: 1 online resource (xviii, 369 pages) : illustrations.
Series: Advanced information and knowledge processing.
Subjects:
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245 0 0 |a Advanced methods for knowledge discovery from complex data /  |c Sanghamitra Bandyopadhyay [and others] (eds.). 
260 |a [New York] ;  |a [London] :  |b Springer,  |c ©2005. 
264 1 |a [New York] ;  |a [London] :  |b Springer,  |c [2005] 
264 4 |c ©2005. 
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490 1 |a Advanced information and knowledge processing. 
504 |a Includes bibliographical references and index. 
520 1 |a "With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field."--Jacket. 
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533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL. 
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505 0 |a Foundations -- Knowledge Discovery and Data Mining -- Automatic Discovery of Class Hierarchies via Output Space Decomposition -- Graph-based Mining of Complex Data -- Predictive Graph Mining with Kernel Methods -- TreeMiner: An Efficient Algorithm for Mining Embedded Ordered Frequent Trees -- Sequence Data Mining -- Link-based Classification -- Applications -- Knowledge Discovery from Evolutionary Trees -- Ontology-Assisted Mining of RDF Documents -- Image Retrieval using Visual Features and Relevance Feedback -- Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detection -- On-board Mining of Data Streams in Sensor Networks -- Discovering an Evolutionary Classifier over a High-speed Nonstatic Stream. 
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