Intelligent Data Engineering and Automated Learning - IDEAL 2012 [electronic resource] : 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings / edited by Hujun Yin, José A. F. Costa, Guilherme Barreto.

Contributor(s): Yin, Hujun [editor.] | Costa, José A. F [editor.] | Barreto, Guilherme [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 7435Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: XXI, 862 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642326394Subject(s): Computer science | Computer software | Data mining | Information storage and retrieval systems | Artificial intelligence | Optical pattern recognition | Computer Science | Data Mining and Knowledge Discovery | Pattern Recognition | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Information Storage and Retrieval | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No titleDDC classification: 006.312 LOC classification: QA76.9.D343Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 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 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

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