Applications of Computational Intelligence in Biology (Record no. 21823)

MARC details
000 -LEADER
fixed length control field 04982nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-540-78534-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170628034843.0
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 100301s2008 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540785347
-- 978-3-540-78534-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-540-78534-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA329-348
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA640-643
072 #7 - SUBJECT CATEGORY CODE
Subject category code TBJ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT003000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Smolinski, Tomasz G.
Relator term editor.
245 10 - TITLE STATEMENT
Title Applications of Computational Intelligence in Biology
Medium [electronic resource] :
Remainder of title Current Trends and Open Problems /
Statement of responsibility, etc edited by Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2008.
300 ## - PHYSICAL DESCRIPTION
Extent XXVI, 428 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 122
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Techniques and Methodologies -- Statistically Based Pattern Discovery Techniques for Biological Data Analysis -- Rough Sets In Data Analysis: Foundations and Applications -- Evolving Solutions: The Genetic Algorithm and Evolution Strategies for Finding Optimal Parameters -- An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology -- Current Trends -- Local Classifiers as a Method of Analysing and Classifying Signals -- Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds -- Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organism -- Contour Matching for Fish Species Recognition and Migration Monitoring -- Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs -- Visualization and Interactive Exploration of Large, Multidimensional Data Sets -- Open Problems -- Phylogenomics, Protein Family Evolution, and the Tree of Life: An Integrated Approach between Molecular Evolution and Computational Intelligence -- Computational Aspects of Aggregation in Biological Systems -- Conceptual Biology Research Supporting Platform: Current Design and Future Directions -- Computational Intelligence in Electrophysiology: Trends and Open Problems -- Cognitive Biology -- Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition -- Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents.
520 ## - SUMMARY, ETC.
Summary, etc Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biology
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering mathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Appl.Mathematics/Computational Methods of Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Appl. in Life Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Milanova, Mariofanna G.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hassanien, Aboul-Ella.
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 9783540785330
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
-- 1860-949X ;
Volume number/sequential designation 122
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-540-78534-7">http://dx.doi.org/10.1007/978-3-540-78534-7</a>
912 ## -
-- ZDB-2-ENG
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-45002 28/06/2017 28/06/2017 E-Book

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