Rough set theory ; a true landmark in data analysis
Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still...
Kaydedildi:
| Diğer Yazarlar: | , , , |
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| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2009. |
| Seri Bilgileri: | Studies in Computational Intelligence
174 |
| 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: | • Rough set theory, a true landmark in data analysis, Ajith Abraham, Rafael Falcón, Rafael Bello (eds.), Berlin, Springer, 2009, 1 vol. (XV-322 p.), Studies in computational intelligence, 978-3-540-89920-4 • Rough Set Theory: A True Landmark in Data Analysis, Texte imprimé, 9783540899228 • Rough set theory, a true landmark in data analysis, Ajith Abraham, Rafael Falcón, Rafael Bello (eds.), Berlin, Springer, 2009, 1 vol. (XV-322 p.), Studies in computational intelligence, 978-3-540-89920-4 • Rough set theory, a true landmark in data analysis, Ajith Abraham, Rafael Falcón, Rafael Bello (eds.), Berlin, Springer, 2009, 1 vol. (XV-322 p.), Studies in computational intelligence, 978-3-540-89920-4 |
| Özet: | Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable |
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| Diğer Bilgileri: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9783540899211 |
| ISSN: | 1860-9503 |
| Erişim: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |