Intelligent Data Engineering and Automated Learning - IDEAL 2011 [electronic resource] : 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings / edited by Hujun Yin, Wenjia Wang, Victor Rayward-Smith.

Contributor(s): Yin, Hujun [editor.] | Wang, Wenjia [editor.] | Rayward-Smith, Victor [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 6936Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XVII, 513 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642238789Subject(s): Computer science | Computer software | Database management | Information storage and retrieval systems | Information systems | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl.Internet) | Database Management | Information Storage and Retrieval | Computation by Abstract Devices | Algorithm Analysis and Problem ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.
Item type: E-BOOKS
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This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

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