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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, ... (Lecture Notes in Computer Science, 7246) - Softcover
Synopsis
This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events.
The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.
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- PublisherSpringer
- Publication date2012
- ISBN 10 3642290655
- ISBN 13 9783642290657
- BindingPaperback
- LanguageEnglish
- Number of pages268
- EditorGiacobini Mario, Vanneschi Leonardo, Bush William S.
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, ... (Lecture Notes in Computer Science, 7246)
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012
ISBN 10: 3642290655
ISBN 13: 9783642290657
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Paperback
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Malaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses. This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Malaga, Spain, in April 2012 co-located with the Evo* 2012 events. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783642290657
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
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ISBN 10: 3642290655
ISBN 13: 9783642290657
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast track conference proceedings Unique visibility State of the art researchFast track conference proceedingsUnique visibilityState of the art researchThis book constitutes the refereed proceedings of the 1. Seller Inventory # 5055777
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, Evobio 2012, Malaga, Spain, April 11-13, 2012, Proceedings
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Springer-Verlag New York Inc, 2012
ISBN 10: 3642290655
ISBN 13: 9783642290657
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Paperback. Condition: Brand New. 2012 edition. 268 pages. 9.50x6.25x0.50 inches. In Stock. Seller Inventory # x-3642290655
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