Boolean Factor Analysis of Multi-Relational Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33147958" target="_blank" >RIV/61989592:15310/13:33147958 - isvavai.cz</a>
Result on the web
<a href="http://cla.inf.upol.cz/papers/cla2013/paper16.pdf" target="_blank" >http://cla.inf.upol.cz/papers/cla2013/paper16.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Boolean Factor Analysis of Multi-Relational Data
Original language description
The Boolean factor analysis is an established method for analysis and preprocessing of Boolean data. In the basic setting, this method is designed for finding factors, new variables, which may explain or describe the original input data. Many real-worlddata sets are more complex than one simple data table, for example almost every web databases are composed from many data tables and relations between this tables. In this paper we present a new approach to the Boolean factor analysis, which is tailoredfor multi-relational data. We show our approach on simple examples and also propose future research topics.
Czech name
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Czech description
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Project
<a href="/en/project/EE2.3.20.0060" target="_blank" >EE2.3.20.0060: International Centre for Information and Uncertainty</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

Article name in the collection
CLA 2013: Proceedings of the 10th International Conference on Concept Lattices and Their Applications
ISBN
978-2-7466-6566-8
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
187-198
Publisher name
Laboratory L3i, University of La Rochelle
Place of publication
La Rochelle
Event location
La Rochelle, Francie
Event date
Oct 15, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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