On attribute reduction in concept lattices: Experimental evaluation shows discernibility matrix based methods inefficient
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73588203" target="_blank" >RIV/61989592:15310/18:73588203 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0020025518306091" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025518306091</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2018.08.004" target="_blank" >10.1016/j.ins.2018.08.004</a>
Alternative languages
Result language
angličtina
Original language name
On attribute reduction in concept lattices: Experimental evaluation shows discernibility matrix based methods inefficient
Original language description
In recent years, discernibility matrix based methods of attribute reduction in concept lattices (DM-methods) enjoyed an increase in attention and were applied in many extensions of formal concept analysis. In our previous paper, we pointed out that there exists an older method (CR-method) with theoretically lesser time complexity and we proposed a wrapping procedure to use the CR-method in any extension where the DM-methods are used. Now we evaluate the methods experimentally. Results of the evaluation assert our previous theoretical findings that the CR-method is strictly superior as it outperforms the DM-methods by several order of magnitude. To emphasize the poor performance of the DM-methods we introduce a new naive and deliberately slow algorithm called SIMPEL. Subsequently, we show that even its performance is not so bad in comparison with the DM-methods. Our conclusions are that it is inefficient to use the DM-methods for attribute reduction in concept lattices and that the CR-method should be used instead in practice.
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
Result was created during the realization of more than one project. More information in the Projects tab.
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
—
Volume of the periodical
467
Issue of the periodical within the volume
OCT
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
431-445
UT code for WoS article
000446291700028
EID of the result in the Scopus database
2-s2.0-85051646510