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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (Record no. 14082)

000 -LEADER
fixed length control field 02928nam a22005295i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310144106.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120323s2012 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642290664
978-3-642-29066-4
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH324.2-324.25
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2012.
912 ## -
-- ZDB-2-SCS
-- ZDB-2-LNC
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Giacobini, Mario.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Medium [electronic resource] :
Remainder of title 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings /
Statement of responsibility, etc edited by Mario Giacobini, Leonardo Vanneschi, William S. Bush.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 255p. 76 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 7246
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Data structures (Computer science).
Topical term or geographic name as entry element Computer software.
Topical term or geographic name as entry element Database management.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Bioinformatics.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Computational Biology/Bioinformatics.
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
Topical term or geographic name as entry element Database Management.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Computation by Abstract Devices.
Topical term or geographic name as entry element Data Structures.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vanneschi, Leonardo.
Relator term editor.
Personal name Bush, William S.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642290657
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-29066-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-31AUM Main Library2014-03-31 2014-03-31 E-Book   AUM Main Library570.285
Languages: 
English |
العربية