Data preprocessing using banded structure and image morphology enhancing Boolean matrix factorization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73633773" target="_blank" >RIV/61989592:15310/25:73633773 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0950705125014054" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0950705125014054</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.knosys.2025.114366" target="_blank" >10.1016/j.knosys.2025.114366</a>
Alternative languages
Result language
angličtina
Original language name
Data preprocessing using banded structure and image morphology enhancing Boolean matrix factorization
Original language description
Boolean Matrix Factorization (BMF) is a widely used method for revealing underlying patterns, called factors, in data. In the paper, we propose a novel data preprocessing method that makes patterns more visible, thus simplifying the overall BMF process. The method first reorders the data to reveal a banded structure. Then, it applies image morphology to enhance this structure by emphasizing important information and suppressing less relevant information. We demonstrate the efficacy of our approach through various experimental evaluations, showing that it effectively modifies the data, resulting in fewer, more interpretable factors. The proposed method also allows using more straightforward and faster BMF algorithms while maintaining high-quality results.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
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
329B
Issue of the periodical within the volume
NOV
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
"114366-1"-"114366-9"
UT code for WoS article
001567119200003
EID of the result in the Scopus database
2-s2.0-105015039733