Toward quality assessment of Boolean matrix factorizations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73588407" target="_blank" >RIV/61989592:15310/18:73588407 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0020025518303694" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025518303694</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2018.05.016" target="_blank" >10.1016/j.ins.2018.05.016</a>
Alternative languages
Result language
angličtina
Original language name
Toward quality assessment of Boolean matrix factorizations
Original language description
Boolean matrix factorization has become an important direction in data analysis. In this paper, we examine the question of how to assess the quality of Boolean matrix factorization algorithms. We critically examine the current approaches, and argue that little attention has been paid to this problem so far and that a systematic approach to it is missing. We regard quality assessment of factorization algorithms as a multifaceted problem, identify major views with respect to which quality needs to be assessed, and present various observations on the available algorithms in this regard. Due to its primary importance, we concentrate on the quality of collections of factors computed from data, present a method to assess this quality, and evaluate this method by experiments.
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
<a href="/en/project/GA15-17899S" target="_blank" >GA15-17899S: Decompositions of Matrices with Boolean and Ordinal Data: Theory and Algorithms</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
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
459
Issue of the periodical within the volume
AUG
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
71-85
UT code for WoS article
000441118300005
EID of the result in the Scopus database
2-s2.0-85047321234