1 option
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings / edited by Mario Giacobini, Leonardo Vanneschi, William S. Bush.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 7246
- Theoretical Computer Science and General Issues, 2512-2029 ; 7246
- Language:
- English
- Subjects (All):
- Bioinformatics.
- Algorithms.
- Database management.
- Artificial intelligence.
- Computer science.
- Artificial intelligence-Data processing.
- Computational and Systems Biology.
- Database Management.
- Artificial Intelligence.
- Theory of Computation.
- Data Science.
- Local Subjects:
- Computational and Systems Biology.
- Algorithms.
- Database Management.
- Artificial Intelligence.
- Theory of Computation.
- Data Science.
- Physical Description:
- 1 online resource (XIII, 255 pages) : 76 illustrations
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- 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. 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-29066-4
- 9783642290664
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.