Extension of Business Rule Sets Using Data Mining of GUHA Association Rules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F15%3A00046596" target="_blank" >RIV/61384399:31140/15:00046596 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1422/59.pdf" target="_blank" >http://ceur-ws.org/Vol-1422/59.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Extension of Business Rule Sets Using Data Mining of GUHA Association Rules
Original language description
Main topics of the document: association rules; business rules; EasyMiner; LISp-Miner
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ITAT 2015 Information Technologies - Applications and Theory
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
6
Pages from-to
59-64
Publisher name
CEUR
Place of publication
Praha
Event location
Čingov
Event date
Sep 17, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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