About: Dependencies among attributes given by fuzzy confirmation measures

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper is a contribution to theoretical background of data mining, more precisely to fuzzy association analysis. We consider three the most commonly used confirmation measures and we study relations among found and known associations given by them. Good understanding of such relationships is necessary for creating more efficient algorithms or for subsequent work with found associations as well as for cooperation with the consumer of the data mining process. Even if our motivation to this work arose from mining of linguistic associations, found properties that coincide with semantics of mined associations are valid in general. Additionally, some examples showing how to use obtained properties are also contained in this paper. This paper is a contribution to theoretical background of data mining, more precisely to fuzzy association analysis. We consider three the most commonly used confirmation measures and we study relations among found and known associations given by them. Good understanding of such relationships is necessary for creating more efficient algorithms or for subsequent work with found associations as well as for cooperation with the consumer of the data mining process. Even if our motivation to this work arose from mining of linguistic associations, found properties that coincide with semantics of mined associations are valid in general. Additionally, some examples showing how to use obtained properties are also contained in this paper. (en)
Title	Dependencies among attributes given by fuzzy confirmation measures Dependencies among attributes given by fuzzy confirmation measures (en)
skos:prefLabel	Dependencies among attributes given by fuzzy confirmation measures Dependencies among attributes given by fuzzy confirmation measures (en)
skos:notation	RIV/61988987:17610/12:A120103V!RIV12-MSM-17610___
http://linked.open...avai/predkladatel	Centrum excelence IT4Innovations, divize OU, Ústav pro výzkum a aplikace fuzzy modelování
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(1M0572), S, Z(MSM6198898701)
http://linked.open...iv/cisloPeriodika	9
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Kupka, Jiří Tomanová, Iva
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ostravská univerzita v Ostravě / Centrum excelence IT4Innovations, divize OU, Ústav pro výzkum a aplikace fuzzy modelování
http://linked.open...dnocenehoVysledku	130106
http://linked.open...ai/riv/idVysledku	RIV/61988987:17610/12:A120103V
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Data mining; linguistic association; confirmation measures; association rule; reduction rule. (en)
http://linked.open.../riv/klicoveSlovo	Data mining confirmation measures linguistic association association rule reduction rule.
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[62D56FE32285]
http://linked.open...i/riv/nazevZdroje	EXPERT SYST APPL
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	39
http://linked.open...iv/tvurceVysledku	Kupka, Jiří Tomanová, Iva
http://linked.open...n/vavai/riv/zamer	Logické a algebraické metody pro zpracování informací zatížených neurčitostí a jejich použití ve fuzzy modelování
issn	0957-4174
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	17610
is http://linked.open...avai/riv/vysledek of	Dependencies among attributes given by fuzzy confirmation measures

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