Fast algorithm for computation of the Duquenne-Guigues basis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73607812" target="_blank" >RIV/61989592:15310/21:73607812 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S002002552100445X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S002002552100445X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2021.04.104" target="_blank" >10.1016/j.ins.2021.04.104</a>
Alternative languages
Result language
angličtina
Original language name
Fast algorithm for computation of the Duquenne-Guigues basis
Original language description
We propose and evaluate a novel algorithm for computation of the Duquenne-Guigues basis which combines Close-by-One and LinClosure algorithms. This combination enables us to reuse attribute counters used in LinClosure and speed up the computation. Our experimental evaluation shows that it is the most efficient algorithm for computation of the Duquenne-Guigues basis.
Czech name
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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
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INFORMATION SCIENCES
ISSN
0020-0255
e-ISSN
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Volume of the periodical
572
Issue of the periodical within the volume
SEP
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
223-240
UT code for WoS article
000683568800010
EID of the result in the Scopus database
2-s2.0-85106359621