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...
Kaydedildi:
| Yazar: | |
|---|---|
| Diğer Yazarlar: | |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2005. |
| Seri Bilgileri: | Studies in Computational Intelligence
4 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
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| 082 | |a 519 | ||
| 100 | 1 | |a Halgamuge, Saman K. | |
| 245 | 1 | 0 | |a Classification and clustering for knowledge discovery |c edited by Saman K. Halgamuge, Lipo Wang. |
| 250 | |a 1st ed. 2005. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 4 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Wang, Lipo. |4 edt | |
| 700 | 1 | |a Halgamuge, Saman K. |4 pbd | |
| 700 | 1 | |a Wang, Lipo. |4 pbd | |
| 776 | 0 | |t Classification and Clustering for Knowledge Discovery |b Texte imprimé |z 9783540260738 | |
| 776 | 0 | |t Classification and Clustering for Knowledge Discovery |b Texte imprimé |z 9783540811183 | |
| 776 | 0 | |t Classification and Clustering for Knowledge Discovery |b Texte imprimé |z 9783642065422 | |
| 776 | 0 | |t Classification and Clustering for Knowledge Discovery |b Texte imprimé |z 9783540260738 | |
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