A Study of Boolean Matrix Factorization Under Supervised Settings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73595312" target="_blank" >RIV/61989592:15310/19:73595312 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-21462-3_24.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-21462-3_24.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-21462-3_24" target="_blank" >10.1007/978-3-030-21462-3_24</a>
Alternative languages
Result language
angličtina
Original language name
A Study of Boolean Matrix Factorization Under Supervised Settings
Original language description
Boolean matrix factorization is a generally accepted approach used in data analysis to explain data or for data preprocessing in the supervised settings. In this paper we study factors in the supervised settings. We provide an experimental proof that factors are able to explain not only data as a whole but also classes in the data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
—
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
Article name in the collection
Formal Concept Analysis
ISBN
978-3-030-21461-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
8
Pages from-to
341-348
Publisher name
Springer International
Place of publication
Cham
Event location
Frankfurt am Main
Event date
Jun 25, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000492749700024