Classification and clustering for knowledge discovery

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis met...

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Bibliografiske detaljer
Hovedforfatter: Halgamuge, Saman K. (Directeur de la publication)
Andre forfattere: Wang, Lipo (Éditeur intellectuel, Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2005.
Serier:Studies in Computational Intelligence 4
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Kommentar: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Classification and Clustering for Knowledge Discovery, Texte imprimé, 9783540260738
• Classification and Clustering for Knowledge Discovery, Texte imprimé, 9783540811183
• Classification and Clustering for Knowledge Discovery, Texte imprimé, 9783642065422
• Classification and Clustering for Knowledge Discovery, Texte imprimé, 9783540260738
Beskrivelse
Summary:Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications
Emne beskrivelse:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540324041
ISSN:1860-9503
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