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Intelligent Data Engineering and Automated Learning -- IDEAL 2012

13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings

Language EnglishEnglish
Book Paperback
Book Intelligent Data Engineering and Automated Learning -- IDEAL 2012 Hujun Yin
Libristo code: 01661911
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, July 2012
This book constitutes the refereed proceedings of the 13th International Conference on Intelligent D... Full description
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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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About the book

Full name Intelligent Data Engineering and Automated Learning -- IDEAL 2012
Author Hujun Yin, Jose A.F. Costa, Guilherme Barreto
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 862
EAN 9783642326387
ISBN 3642326382
Libristo code 01661911
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 1330
Dimensions 155 x 235 x 48

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data warehousing
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
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