9783642371882-3642371884-Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, ... Computer Science and General Issues)

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, ... Computer Science and General Issues)

ISBN-13: 9783642371882
ISBN-10: 3642371884
Edition: 2013
Author: William S. Bush, Mario Giacobini, Leonardo Vanneschi
Publication date: 2013
Publisher: Springer
Format: Paperback 229 pages
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Book details

ISBN-13: 9783642371882
ISBN-10: 3642371884
Edition: 2013
Author: William S. Bush, Mario Giacobini, Leonardo Vanneschi
Publication date: 2013
Publisher: Springer
Format: Paperback 229 pages

Summary

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, ... Computer Science and General Issues) (ISBN-13: 9783642371882 and ISBN-10: 3642371884), written by authors William S. Bush, Mario Giacobini, Leonardo Vanneschi, was published by Springer in 2013. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, ... Computer Science and General Issues) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

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