Formal concept analysis constrained by attribute-dependency formulas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F05%3A00002477" target="_blank" >RIV/61989592:15310/05:00002477 - 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 constrained by attribute-dependency formulas
Original language description
An important topic in formal concept analysis is to cope with a possibly large number of formal concepts extracted from formal context (input data). We propose a method to reduce the number of extracted formal concepts by means of constraints expressed by particular formulas (attribute-dependency formulas, ADF). ADF represent a form of dependencies specified by a user expressing relative importance of attributes. ADF are considered as additional input accompanying the formal context $lrangle{X,Y,I}$. The reduction consists in considering formal concepts which are compatible with a given set of ADF and leaving out noncompatible concepts. We present basic properties related to ADF, an algorithm for generating the reduced set of formal concepts, and demonstrating examples.
Czech name
Formální konceptuální analysa omezená formulemi atributových závislostí
Czech description
Návrh metody redukce počtu konceptů pomocí formulí atributových závislostí.
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 Formal Concept Analysis 2005; Lecture Notes in Artificial Intelligence
ISBN
3-540-24525-1
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
176-191
Publisher name
Springer
Place of publication
Heidelberg
Event location
Lens; France
Event date
Jan 1, 2005
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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