Relationships between depth and number of misclassifications for decision trees

Handle URI:
http://hdl.handle.net/10754/564338
Title:
Relationships between depth and number of misclassifications for decision trees
Authors:
Chikalov, Igor; Hussain, Shahid ( 0000-0002-1698-2809 ) ; Moshkov, Mikhail ( 0000-0003-0085-9483 )
Abstract:
This paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository [3]. © 2011 Springer-Verlag.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program; Extensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group; Computer Science Program
Publisher:
Springer Science + Business Media
Journal:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Conference/Event name:
13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011
Issue Date:
2011
DOI:
10.1007/978-3-642-21881-1_45
Type:
Conference Paper
ISSN:
03029743
ISBN:
9783642218804
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorChikalov, Igoren
dc.contributor.authorHussain, Shahiden
dc.contributor.authorMoshkov, Mikhailen
dc.date.accessioned2015-08-04T06:24:08Zen
dc.date.available2015-08-04T06:24:08Zen
dc.date.issued2011en
dc.identifier.isbn9783642218804en
dc.identifier.issn03029743en
dc.identifier.doi10.1007/978-3-642-21881-1_45en
dc.identifier.urihttp://hdl.handle.net/10754/564338en
dc.description.abstractThis paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository [3]. © 2011 Springer-Verlag.en
dc.publisherSpringer Science + Business Mediaen
dc.subjectdecision treesen
dc.subjectdepthen
dc.subjectnumber of misclassificationsen
dc.titleRelationships between depth and number of misclassifications for decision treesen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentExtensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Groupen
dc.contributor.departmentComputer Science Programen
dc.identifier.journalRough Sets, Fuzzy Sets, Data Mining and Granular Computingen
dc.conference.date25 June 2011 through 27 June 2011en
dc.conference.name13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011en
dc.conference.locationMoscowen
kaust.authorChikalov, Igoren
kaust.authorHussain, Shahiden
kaust.authorMoshkov, Mikhailen
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