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Graph Mining for Automatic Classification of Logical Proofs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00070399" target="_blank" >RIV/00216224:14330/13:00070399 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Graph Mining for Automatic Classification of Logical Proofs

  • Original language description

    We introduce a new system that employs graph mining methods for evaluation of logical proofs constructed by undergraduate students. First, the source data are described. As particular tasks may differ - students solve different tasks - we introduce a method for unification of resolution steps that enables to generate generalized frequent subgraphs. We then present a new system for graph mining that uses generalized frequent patterns as new attributes. We show that both overall accuracy and precision forincorrect resolution proofs overcome 97%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Datakon a Znalosti 2013

  • ISBN

    9788024831893

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    133-138

  • Publisher name

    Vysoká škola báňská - Technická univerzita Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article