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Titolo: |
Advanced Computational Methods for Knowledge Engineering / / edited by Ngoc Thanh Nguyen, Tien van Do, Hoai An Thi
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
Edizione: | 1st ed. 2013. |
Descrizione fisica: | 1 online resource (XIV, 392 p. 105 illus.) |
Disciplina: | 006.3 |
Soggetto topico: | Computational intelligence |
Optical data processing | |
Mathematical models | |
Computational Intelligence | |
Image Processing and Computer Vision | |
Mathematical Modeling and Industrial Mathematics | |
Persona (resp. second.): | NguyenNgoc Thanh (Computer scientist) |
van DoTien | |
ThiHoai An | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Advanced Optimization Methods and Their Applications -- Queuing Theory and Applications -- Computational Methods for Knowledge Engineering -- Knowledge Engineering with Cloud and Grid Computing -- Logic Based Methods for Decision Making and Data Mining. |
Sommario/riassunto: | The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queueing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. |
Titolo autorizzato: | Advanced Computational Methods for Knowledge Engineering ![]() |
ISBN: | 3-319-00293-7 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910437896603321 |
Lo trovi qui: | Univ. Federico II |
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