Data-mining protein structure by clustering, segmentation and evolutionary algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A86080856" target="_blank" >RIV/61989100:27240/09:86080856 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-01088-0_10" target="_blank" >http://dx.doi.org/10.1007/978-3-642-01088-0_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-01088-0_10" target="_blank" >10.1007/978-3-642-01088-0_10</a>
Alternative languages
Result language
angličtina
Original language name
Data-mining protein structure by clustering, segmentation and evolutionary algorithms
Original language description
In this participation are discussed principles of bioinformatics, datamining, evolutionary computing and its mutual intersection. Data-mining by means of selected evolutionary techniques are discussed with attention on protein structure, segmentation andstate of art on the field of evolutionary algorithms use. Basic principles and terminology of evolutionary algorithms, as well as two evolutionary algorithms are mentioned here - differential evolution and self-organizing migrating algorithm.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Studies in Computational Intelligence
ISSN
1860-949X
e-ISSN
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Volume of the periodical
209
Issue of the periodical within the volume
2009
Country of publishing house
DE - GERMANY
Number of pages
28
Pages from-to
221-248
UT code for WoS article
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EID of the result in the Scopus database
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