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

Contributor(s): Yin, Hujun [editor.] | Costa, Jose A.F [editor.] | Barreto, Guilherme [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 7435Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: XXI, 862 p. 280 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642326394.Subject(s): Data mining | Pattern recognition systems | Artificial intelligence | Algorithms | Information storage and retrieval systems | Computer science | Data Mining and Knowledge Discovery | Automated Pattern Recognition | Artificial Intelligence | Algorithms | Information Storage and Retrieval | Theory of ComputationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online In: Springer Nature eBookSummary: 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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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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