A genetic algorithm-based data mining approach to modeling of public transport demand
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F04%3A00001220" target="_blank" >RIV/00216275:25410/04:00001220 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A genetic algorithm-based data mining approach to modeling of public transport demand
Original language description
In this paper is presented a proposal of genetic algorithm for knowledge discoveryprocess. Data mining (the process of extracting trends or patterns from data) is used indatabase of bus lines carriers here. The aim is to find link between bus line revenue andsignificant factors affecting public transport demand. There are many data mining methodsused in knowledge discovery in databases. Genetic algorithms belong to the field ofevolutionary computation and in special case could be used in data mining. There is shownhow to change the basic form of genetic algorithm (representation, operators etc.) to obtainimportant knowledge about transport demand in the paper.
Czech name
Využití genetických algoritmů na bázi data miningu v modelování poptávky po veřejné dopravě
Czech description
In this paper is presented a proposal of genetic algorithm for knowledge discoveryprocess. Data mining (the process of extracting trends or patterns from data) is used indatabase of bus lines carriers here. The aim is to find link between bus line revenue andsignificant factors affecting public transport demand. There are many data mining methodsused in knowledge discovery in databases. Genetic algorithms belong to the field ofevolutionary computation and in special case could be used in data mining. There is shownhow to change the basic form of genetic algorithm (representation, operators etc.) to obtainimportant knowledge about transport demand in the paper.
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
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
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Európske financie - teória, politika a prax
ISBN
80-8055-968-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
6
Publisher name
Univerzita Mateja Bela
Place of publication
Banská Bystrica
Event location
Banská Bystrica, Slovak Republic
Event date
Jan 1, 2004
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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