Model order selection for approximate Boolean matrix factorization problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73607834" target="_blank" >RIV/61989592:15310/21:73607834 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0950705121004469" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0950705121004469</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.knosys.2021.107184" target="_blank" >10.1016/j.knosys.2021.107184</a>
Alternative languages
Result language
angličtina
Original language name
Model order selection for approximate Boolean matrix factorization problem
Original language description
A key step in applying Boolean matrix factorization (BMF) is establishing the correct model order for the data, i.e., decide where the knowledge stops and the noise starts, or simply, decide the proper number of factors that describe the data well. There are two main approaches to BMF, namely, Discrete Basis Problem (DBP) and Approximation Factorization Problem (AFP). Although the model order selection technique for DBP exists, there is no technique tailored for AFP. We show that the number of factors for DBP cannot be used in AFP, and we present a novel way, reflecting the nature of AFP, how to establish the proper number of factors. Moreover, we show that the number of factors established for AFP is - from a knowledge-representation viewpoint - better than that for DBP.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
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
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
KNOWLEDGE-BASED SYSTEMS
ISSN
0950-7051
e-ISSN
1872-7409
Volume of the periodical
227
Issue of the periodical within the volume
SEP
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
5
Pages from-to
"107184-1"-"107184-5"
UT code for WoS article
000679379400011
EID of the result in the Scopus database
2-s2.0-85120765649