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Instance selection in logical rule extraction for regression problems

  • University of Bielsko-Biala

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

20 Citations (Scopus)

Abstract

The paper presents three algorithms of instance selection for regression problems, which extend the capabilities of the CNN, ENN and CA algorithms used for classification tasks. Various combinations of the algorithms are experimentally evaluated as data preprocessing for regression tree induction. The influence of the instance selection algorithms and their parameters on the accuracy and rules produced by regression trees is evaluated and compared to the results obtained with tree pruning.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Proceedings
Pages167-175
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 2013
Event12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013 - Zakopane, Poland
Duration: 9 Jun 2013 → 13 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7895 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013
Country/TerritoryPoland
CityZakopane
Period9/06/13 → 13/06/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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