Attribute dependencies in incomplete binary data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33146217" target="_blank" >RIV/61989592:15310/13:33146217 - 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
Attribute dependencies in incomplete binary data
Original language description
In practical applications of methods of data analysis it is often the case that the data are incomplete. It is therefore desirable for the methods to be able to cope with such data. We focus on formal concept analysis (FCA), a particular method of analysis of binary tabular data that also allows to process incomplete datasets. We study a mechanism in which the most relevant part of FCA's output can be filtered out. The mechanism utilizes so-called attribute dependencies, an additional data supplied by the user to specify what is considered as relevant output.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.20.0059" target="_blank" >EE2.3.20.0059: Reintegration of Czech Scientist and Creation of Top Level Team in Information Sciences</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of MDAI 2013
ISBN
978-84-695-9120-8
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
"nečíslováno"
Publisher name
Neuveden
Place of publication
Barcelona
Event location
Barcelona
Event date
Nov 20, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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