Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [electronic resource] : 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings / edited by Mario Giacobini, Leonardo Vanneschi, William S. Bush.
Contributor(s): Giacobini, Mario [editor.]
| Vanneschi, Leonardo [editor.] | Bush, William S [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 7246Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: XIII, 255 p. 76 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642290664.Subject(s): Bioinformatics | Algorithms | Database management | Artificial intelligence | Computer science | Artificial intelligence -- Data processing | Computational and Systems Biology | Algorithms | Database Management | Artificial Intelligence | Theory of Computation | Data ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 570.285 | 570.113 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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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