Evolutionary computation, machine learning, and data mining in bioinformatics 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012 proceedings /
Saved in:
| Other Authors / Creators: | Giacobini, Mario. Vanneschi, Leonardo. Bush, William Scott. |
|---|---|
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Imprint: | Heidelberg ; New York : Springer, c2012. |
| Series: | Lecture notes in computer science ;
7246. LNCS sublibrary. Theoretical computer science and general issues. |
| Subjects: | |
| Online Access: | Available in Springer Computer Science eBooks 2012 English/International. |
| Summary: | 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.<br> 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. |
|---|---|
| Bibliography: | Includes bibliographical references and author index. |
| ISBN: | 9783642290664 (online) |
| ISSN: | 0302-9743 ; |