Data mining, rough sets, and granular computing /
Collection : Studies in fuzziness and soft computing ; . volume 95 Détails physiques : 536 pages illustrations. ISBN :9783790817911; 3790817910; 9783790825084; 3790825085.| Type de document | Site actuel | Cote | Statut | Date de retour prévue | Code à barres | Réservations |
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| Livre | La bibliothèque des sciences de l'ingénieur | 006.3 LIN (Parcourir l'étagère) | Disponible | 0000000027535 |
Survol La bibliothèque des sciences de l'ingénieur Étagères Fermer l'étagère
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| 006.3 KOZ Genetic programming : | 006.3 KUN Fuzzy classifier design | 006.3 LAV Planning algorithms | 006.3 LIN Data mining, rough sets, and granular computing / | 006.3 LIU Theory and practice of uncertain programming / | 006.3 LOU Réduction du PAPR d'un signal ULB ECMA-368 et implémentation sur FPGA / | 006.3 MEI Distributed search by constrained agents : |
Includes bibliographical references.
Preface / T.Y. Lin, Y.Y. Yao and L.A. Zadeh -- pt. 1. Granular Computing -- A New Paradigm. Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language / L.A. Zadeh -- pt. 2. Granular Computing in Data Mining. Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules / T.Y. Lin and E. Louie. Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems / J.G. Shanahan. Validation of Concept Representation with Rule Induction and Linguistic Variables / S. Tsumoto. Granular Computing Using Information Tables / Y.Y. Yao and N. Zhong.
This volume is the result of a two-year project aimed at coalescing the concepts and techniques of granular computing on one side, and rough set theory on another. It consists of a collection of up-to-date and authoritative expositions of the basic theories underlying data mining, granular computing and rough set theory, and stresses their wide-ranging applications. A principal aim of the work is to stimulate an exploration of ways in which progress in data mining can be enhanced through integration with granular computing and rough set theory.


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