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Application of Copulas to Data Mining Based on Observational Logic

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of Copulas to Data Mining Based on Observational Logic

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-17187S" target="_blank" >GA13-17187S: Constructing Advanced Comprehensible Classifiers</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

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

  • ISBN

    978-1-4909-5208-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    77-85

  • Publisher name

    CreateSpace Independent Publishing Platform

  • Place of publication

    North Charleston

  • Event location

    Donovaly

  • Event date

    Sep 11, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article