Experimental Study on Reduction of One-Sided Concept Lattice Based on Subsets Quality Measure

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33155728" target="_blank" >RIV/61989592:15310/15:33155728 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/SACI.2015.7208208" target="_blank" >http://dx.doi.org/10.1109/SACI.2015.7208208</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SACI.2015.7208208" target="_blank" >10.1109/SACI.2015.7208208</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Experimental Study on Reduction of One-Sided Concept Lattice Based on Subsets Quality Measure

Popis výsledku v původním jazyce

The methods from the area of Formal Concept Analysis (or FCA) are usually used for conceptual-based exploratory data-mining tasks. One of the methods used in this area is based on one-sided fuzzification of standard approach, which provides the clustersof objects structured in concept hierarchy according to the specified set of fuzzy attributes. The limiting problem of FCA-based approaches is that they produce large set of concepts, which can be problematic for the interpretability of results and practical usage of the method. We have designed a method for evaluation of concepts from so-called generalized one-sided concept lattice, which is based on the quality measure of objects subsets. This method selects most relevant concepts and therefore leadsto reduction of concept lattice. In this paper we will provide experimental study on the reduction, which can be achieved according to different settings of randomly generated data sets.

Název v anglickém jazyce

Experimental Study on Reduction of One-Sided Concept Lattice Based on Subsets Quality Measure

Popis výsledku anglicky

The methods from the area of Formal Concept Analysis (or FCA) are usually used for conceptual-based exploratory data-mining tasks. One of the methods used in this area is based on one-sided fuzzification of standard approach, which provides the clustersof objects structured in concept hierarchy according to the specified set of fuzzy attributes. The limiting problem of FCA-based approaches is that they produce large set of concepts, which can be problematic for the interpretability of results and practical usage of the method. We have designed a method for evaluation of concepts from so-called generalized one-sided concept lattice, which is based on the quality measure of objects subsets. This method selects most relevant concepts and therefore leadsto reduction of concept lattice. In this paper we will provide experimental study on the reduction, which can be achieved according to different settings of randomly generated data sets.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.30.0041" target="_blank" >EE2.3.30.0041: Podpora vytváření excelentních výzkumných týmů a intersektorální mobility na Univerzitě Palackého v Olomouci II.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Applied Computational Intelligence and Informatics

ISBN

978-1-4799-9911-8

ISSN

—

e-ISSN

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Počet stran výsledku

6

Strana od-do

253-258

Název nakladatele

IEEE Computer Society Press

Místo vydání

New York

Místo konání akce

Timisoara

Datum konání akce

21. 5. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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