Formal concept analysis over attributes with levels of granularity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F05%3A00002478" target="_blank" >RIV/61989592:15310/05:00002478 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Formal concept analysis over attributes with levels of granularity
Original language description
Formal concept analysis (FCA) is a method of exploratory analysis of object-attribute data tables. The two main outputs are a hierarchical structure of clusters (so-called formal concepts) and a non-redundant basis of so-called attribute implications. Animportant topic in FCA is to cope with a possibly large number of resulting clusters. We propose a method to control the number of clusters by means of specification of a granularity level of attributes. A user selects an appropriate level of granularity of each attribute. If the corresponding set of clusters is too large, the user can select a lower level of granularity for appropriate attributes. The resulting set of clusters is then smaller and can be seen as a rougher version of the original set ofclusters. If the corresponding set of clusters is too small, the user can select a finer level of granularity for appropriate attributes. The resulting set of clusters is then larger and can be seen as a refinement of the original set of
Czech name
Formalní konceptuální analýza nad atributy s úrovněmi granularity
Czech description
Formalní konceptuální analýza s uživatelem vybranou úrovní granularity atributů.
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET101370417" target="_blank" >1ET101370417: Hierarchical analysis of complex data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Computational Intelligence for Modelling Control and Automation - CIMCA'2005
ISBN
0-7695-2504-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
728-736
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Wien
Event date
Jan 1, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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