Reduction of Concepts from Generalized One-Sided Concept Lattice Based on Subsets Quality Measure
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Reduction of Concepts from Generalized One-Sided Concept Lattice Based on Subsets Quality Measure
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.30.0041" target="_blank" >EE2.3.30.0041: POST-UP II.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Intelligent Systems and Computing - NEW RESEARCH IN MULTIMEDIA AND INTERNET SYSTEMS
ISSN
2194-5357
e-ISSN
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Volume of the periodical
314
Issue of the periodical within the volume
2015
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
101-111
UT code for WoS article
000348199400011
EID of the result in the Scopus database
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