Fast Evaluation of T-norms for Fuzzy Association Rules Mining

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F13%3AA14018PN" target="_blank" >RIV/61988987:17610/13:A14018PN - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Fast Evaluation of T-norms for Fuzzy Association Rules Mining
Original language description
The aim of this paper is to present a bitwise approach on evaluation of fuzzy t-norms. T-norms are functions that generalize the notion of conjunction, and as such play an important role in fuzzy association rule mining process. Efficient algorithms forbatch evaluation of the most common t-norms is proposed that minimizes computation time as well as memory space requirements at the cost of user-adjustable loss of precision of the membership degrees.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
14th IEEE International Symposium on Computational Intelligence and Informatics (CINTI 2013)
ISBN
978-1-4799-0195-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
465-470
Publisher name
IEEE
Place of publication
Budapest
Event location
Budapest
Event date
Nov 19, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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