Expert deduction rules in data mining with association rules: a case study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F19%3A00052120" target="_blank" >RIV/61384399:31140/19:00052120 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs10115-018-1206-x" target="_blank" >https://link.springer.com/article/10.1007%2Fs10115-018-1206-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10115-018-1206-x" target="_blank" >10.1007/s10115-018-1206-x</a>
Alternative languages
Result language
angličtina
Original language name
Expert deduction rules in data mining with association rules: a case study
Original language description
Main topics of the document: data mining; association rules; domain knowledge; logical calculus of association rules; deduction rules
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Knowledge and Information Systems
ISSN
0219-1377
e-ISSN
0219-3116
Volume of the periodical
59
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
29
Pages from-to
167-195
UT code for WoS article
000461390300007
EID of the result in the Scopus database
2-s2.0-85047127424