All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Measures of Ruleset Quality for General Rules Extraction Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00323363" target="_blank" >RIV/67985807:_____/09:00323363 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measures of Ruleset Quality for General Rules Extraction Methods

  • Original language description

    The paper deals with quality measures of whole sets of rules extracted from data, as a counterpart to more commonly used measures of individual rules. It sketches the typology of rules extraction methods and of their rulesets, and recalls that quality measures for whole sets of rules have been so far used only in the case of classification rulesets. Then three particular approaches to extending ruleset quality measures from classification to general rulesets are discussed. The paper also recalls the possibility to measure the dependence of classification rulesets on parameters of the classification method by means of ROC curves, and proposes a generalization of ROC curves to general rulesets. Finally, the approach is illustrated on rulesets extracted with four important rules extraction methods from the well-known iris data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F08%2F0802" target="_blank" >GA201/08/0802: Applications of Methods of Knowledge Engineering in Data Mining</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Approximate Reasoning

  • ISSN

    0888-613X

  • e-ISSN

  • Volume of the periodical

    50

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

    000267232200005

  • EID of the result in the Scopus database