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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
. Ed(S): Giacobini, Mario; Vanneschi, Leonardo; Bush, William S.
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Description for Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Paperback. 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. Editor(s): Giacobini, Mario; Vanneschi, Leonardo; Bush, William S. Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues. Num Pages: 255 pages, 76 black & white illustrations, biography. BIC Classification: PSA; UNF; UYQM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 408.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
255
Condition
New
Series
Lecture Notes in Computer Science / Theoretical Computer Science and General Issues
Number of Pages
255
Place of Publication
Berlin, Germany
ISBN
9783642290657
SKU
V9783642290657
Shipping Time
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Ref
99-3
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