On attribute reduction in concept lattices: Experimental evaluation shows discernibility matrix based methods inefficient
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On attribute reduction in concept lattices: Experimental evaluation shows discernibility matrix based methods inefficient
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
On attribute reduction in concept lattices: Experimental evaluation shows discernibility matrix based methods inefficient
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
INFORMATION SCIENCES
ISSN
0020-0255
e-ISSN
—
Svazek periodika
467
Číslo periodika v rámci svazku
OCT
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
15
Strana od-do
431-445
Kód UT WoS článku
000446291700028
EID výsledku v databázi Scopus
2-s2.0-85051646510