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.
Material type:
TextSeries: Lecture Notes in Computer Science ; 7246Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XIII, 255p. 76 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642290664Subject(s): Computer science | Data structures (Computer science) | Computer software | Database management | Artificial intelligence | Bioinformatics | Computer Science | Computational Biology/Bioinformatics | Algorithm Analysis and Problem Complexity | Database Management | Artificial Intelligence (incl. Robotics) | Computation by Abstract Devices | Data StructuresAdditional physical formats: Printed edition:: No titleDDC classification: 570.285 LOC classification: QH324.2-324.25Online resources: Click here to access online
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Springer eBooksSummary: 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.
E-BOOKS
| Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| IMSc Library | IMSc Library | Link to resource | Available | EBK10174 |
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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