Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Giacobini, Mario (Επιμελητής έκδοσης), Vanneschi, Leonardo (Επιμελητής έκδοσης), Bush, William S. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Σειρά:Lecture Notes in Computer Science, 7246
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics  |h [electronic resource] :  |b 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings /  |c edited by Mario Giacobini, Leonardo Vanneschi, William S. Bush. 
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520 |a 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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650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Database Management. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
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650 2 4 |a Data Structures. 
700 1 |a Giacobini, Mario.  |e editor. 
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