Decision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Study

Handle URI:
http://hdl.handle.net/10754/552480
Title:
Decision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Study
Authors:
Azad, Mohammad ( 0000-0001-9851-1420 ) ; Zielosko, Beata; Moshkov, Mikhail ( 0000-0003-0085-9483 ) ; Chikalov, Igor
Abstract:
In this paper, we present three approaches for construction of decision rules for decision tables with many-valued decisions. We construct decision rules directly for rows of decision table, based on paths in decision tree, and based on attributes contained in a test (super-reduct). Experimental results for the data sets taken from UCI Machine Learning Repository, contain comparison of the maximum and the average length of rules for the mentioned approaches.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Decision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Study 2013, 22:87 Procedia Computer Science
Publisher:
Elsevier BV
Journal:
Procedia Computer Science
Conference/Event name:
17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, KES 2013
Issue Date:
4-Oct-2013
DOI:
10.1016/j.procs.2013.09.084
Type:
Conference Paper
ISSN:
18770509
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1877050913008776
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAzad, Mohammaden
dc.contributor.authorZielosko, Beataen
dc.contributor.authorMoshkov, Mikhailen
dc.contributor.authorChikalov, Igoren
dc.date.accessioned2015-05-07T14:17:27Zen
dc.date.available2015-05-07T14:17:27Zen
dc.date.issued2013-10-04en
dc.identifier.citationDecision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Study 2013, 22:87 Procedia Computer Scienceen
dc.identifier.issn18770509en
dc.identifier.doi10.1016/j.procs.2013.09.084en
dc.identifier.urihttp://hdl.handle.net/10754/552480en
dc.description.abstractIn this paper, we present three approaches for construction of decision rules for decision tables with many-valued decisions. We construct decision rules directly for rows of decision table, based on paths in decision tree, and based on attributes contained in a test (super-reduct). Experimental results for the data sets taken from UCI Machine Learning Repository, contain comparison of the maximum and the average length of rules for the mentioned approaches.en
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050913008776en
dc.rightsArchived with thanks to Procedia Computer Science. http://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectdecision table with many-valued decisionsen
dc.subjectdecision ruleen
dc.subjectdecision treeen
dc.subjecttesten
dc.titleDecision Rules, Trees and Tests for Tables with Many-valued Decisions–comparative Studyen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalProcedia Computer Scienceen
dc.conference.date2013-09-09 to 2013-09-11en
dc.conference.name17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, KES 2013en
dc.conference.locationKitakyushu, JPNen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionInstitute of Computer Science, University of Silesia 39, Bȩdzińska St., 41-200 Sosnowiec, Polanden
kaust.authorAzad, Mohammaden
kaust.authorZielosko, Beataen
kaust.authorMoshkov, Mikhailen
kaust.authorChikalov, Igoren
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