COMBINATIONS OF OLAP SYSTEM AND NEURAL NETWORKS FOR BUSINESS INTELLIGENCE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F07%3A%230000069" target="_blank" >RIV/63468352:_____/07:#0000069 - 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
COMBINATIONS OF OLAP SYSTEM AND NEURAL NETWORKS FOR BUSINESS INTELLIGENCE
Original language description
The paper deals about possibility of using external data sources and transformation data to format for OLAP analyzing. The process of transformation is describe to be able create loading data to contingent table that imports data to external program foranalyzing time series .External program of simulator neural network type RBF executes learning from part of data and next process of analyzing of data. The theory of learning scatter search neural network is described. This architecture improves decisionprocess in business modeling.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings International Conference on Soft Computing Applied in Computer and Economic Environments
ISBN
80-7314-108-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Evropský polytechnický institut, s.r.o.
Place of publication
Kunovice
Event location
Kunovice
Event date
Jan 1, 2007
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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