Reduction of Concepts from Generalized 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%3A33155723" target="_blank" >RIV/61989592:15310/15:33155723 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-10383-9_10" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-10383-9_10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-10383-9_10" target="_blank" >10.1007/978-3-319-10383-9_10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reduction of Concepts from Generalized One-Sided Concept Lattice Based on Subsets Quality Measure

Popis výsledku v původním jazyce

One of the conceptual methods in data mining area is based on the onesided concept lattices, which belongs to approaches known as Formal ConceptAnalysis (FCA). It provides an analysis of objects clusters according to the set of fuzzy attributes. The specific problem of such approaches is sometimes large number of concepts created by the method, which can be crucial for the interpretation of the results and their usage in practice. In this chapter we describe the method for evaluation of concepts from generalized one-sided concept lattice based on the quality measure of objects subsets. Consequently, this method is able to select most relevant concepts according to their quality, which can lead to useful reduction of information from concept lattice. The usage of this approach is described by the illustrative example.

Název v anglickém jazyce

Reduction of Concepts from Generalized One-Sided Concept Lattice Based on Subsets Quality Measure

Popis výsledku anglicky

One of the conceptual methods in data mining area is based on the onesided concept lattices, which belongs to approaches known as Formal ConceptAnalysis (FCA). It provides an analysis of objects clusters according to the set of fuzzy attributes. The specific problem of such approaches is sometimes large number of concepts created by the method, which can be crucial for the interpretation of the results and their usage in practice. In this chapter we describe the method for evaluation of concepts from generalized one-sided concept lattice based on the quality measure of objects subsets. Consequently, this method is able to select most relevant concepts according to their quality, which can lead to useful reduction of information from concept lattice. The usage of this approach is described by the illustrative example.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

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 periodika

Advances in Intelligent Systems and Computing - NEW RESEARCH IN MULTIMEDIA AND INTERNET SYSTEMS

ISSN

2194-5357

e-ISSN

—

Svazek periodika

314

Číslo periodika v rámci svazku

2015

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

101-111

Kód UT WoS článku

000348199400011

EID výsledku v databázi Scopus

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