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Record Nr. |
UNINA9910484799403321 |
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Titolo |
Intelligent data engineering and automated learning -- IDEAL 2009 : 10th international conference, Bourgos, Spain, September 23-26, 2009 ; proceedings / / Emilio Corchado, Hujun Yin, (eds.) |
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Pubbl/distr/stampa |
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Berlin ; ; New York, : Springer, c2009 |
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ISBN |
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Edizione |
[1st ed. 2009.] |
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Descrizione fisica |
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1 online resource (XXIII, 826 p.) |
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Collana |
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Lecture notes in computer science ; ; 5788 |
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Altri autori (Persone) |
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CorchadoEmilio |
YinHujun <1962-> |
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Disciplina |
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Soggetti |
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Data mining |
Database management |
Intelligent agents (Computer software) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Learning and Information Processing -- Data Mining and Information Management -- Neuro-Informatics, Bio-Informatics and Bio-Inspired Models -- Agents and Hybrid Systems -- Soft Computing Techniques in Data Mining -- Recent Advances on Swarm-Based Computing -- Intelligent Computational Techniques in Medical Image Processing -- Advances on Ensemble Learning and Information Fusion -- Financial and Business Engineering (Modeling and Applications) -- MIR Day 2009 - Burgos -- Nature Inspired Models for Industrial Applications. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2009, held in Burgos, Sapin, in September 2009. The 100 revised full papers presented were carefully reviewed and selected from over 200 submissions for inclusion in the book. The papers are organized in topical sections on learning and information processing; data mining and information management; neuro-informatics, bio-informatics, and bio-inspired models; agents and hybrid systems; soft computing techniques in data mining; recent advances on swarm-based computing; intelligent computational techniques in medical image processing; advances on ensemble |
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