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Rule quality measures settings in a sequential covering rule induction algorithm - An empirical approach

  • Institute of Innovative Technologies EMAG

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

The paper presents the results of research related to the efficiency of the so called rule quality measures which are used to evaluate the quality of rules at each stage of the rule induction. The stages of rule growing and pruning were considered along with the issue of conflicts resolution which may occur during the classification. The work is the continuation of research on the efficiency of quality measures employed in sequential covering rule induction algorithm. In this paper we analyse only these quality measures (9 measures) which had been recognised as effective based on previously conducted research.

Original languageEnglish
Title of host publicationProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015
EditorsMarcin Paprzycki, Leszek Maciaszek, Maria Ganzha, Leszek Maciaszek
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-118
Number of pages10
ISBN (Electronic)9788360810651
DOIs
Publication statusPublished - 2015
EventFederated Conference on Computer Science and Information Systems, FedCSIS 2015 - Lodz, Poland
Duration: 13 Sept 201516 Sept 2015

Publication series

NameProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015

Conference

ConferenceFederated Conference on Computer Science and Information Systems, FedCSIS 2015
Country/TerritoryPoland
CityLodz
Period13/09/1516/09/15

ASJC Scopus subject areas

  • General Computer Science

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