Application of Copulas to Data Mining Based on Observational Logic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00396831" target="_blank" >RIV/67985807:_____/13:00396831 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of Copulas to Data Mining Based on Observational Logic

Popis výsledku v původním jazyce

The objective of the paper is a small contribution to data mining based on observational logic - introducing generalized quantifiers inspired by copulas. Fitting copulas to multidimensional data is an increasingly important method for analyzing dependencies, and the new quantifiers of observational logic assess the possibility to describe the data by a hierarchical Archimedean copula with given properties. To this end, basic concepts pertaining to copulas, Archimedean copulas and hierarchical Archimedean copulas are first recalled, together with those properties that will be needed for the definition of the new quantifiers. Since the result of assessing the possibility to describe the data by a copula depends not only on the properties of that copula,but also on the precise algorithm for fitting it to the data, we present the algorithm we have used to this end, before finally defining the new quantifiers. The paper concludes with a brief illustration of applying the proposed quantifie

Název v anglickém jazyce

Application of Copulas to Data Mining Based on Observational Logic

Popis výsledku anglicky

The objective of the paper is a small contribution to data mining based on observational logic - introducing generalized quantifiers inspired by copulas. Fitting copulas to multidimensional data is an increasingly important method for analyzing dependencies, and the new quantifiers of observational logic assess the possibility to describe the data by a hierarchical Archimedean copula with given properties. To this end, basic concepts pertaining to copulas, Archimedean copulas and hierarchical Archimedean copulas are first recalled, together with those properties that will be needed for the definition of the new quantifiers. Since the result of assessing the possibility to describe the data by a copula depends not only on the properties of that copula,but also on the precise algorithm for fitting it to the data, we present the algorithm we have used to this end, before finally defining the new quantifiers. The paper concludes with a brief illustration of applying the proposed quantifie

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-17187S" target="_blank" >GA13-17187S: Konstrukce pokročilých srozumitelných klasifikátorů</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ITAT 2013: Information Technologies - Applications and Theory Workshops, Posters, and Tutorials

ISBN

978-1-4909-5208-6

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

77-85

Název nakladatele

CreateSpace Independent Publishing Platform

Místo vydání

North Charleston

Místo konání akce

Donovaly

Datum konání akce

11. 9. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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