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dc.contributor.authorChikalov, Igor
dc.contributor.authorHussain, Shahid
dc.contributor.authorMoshkov, Mikhail
dc.date.accessioned2015-08-04T06:24:08Z
dc.date.available2015-08-04T06:24:08Z
dc.date.issued2011
dc.identifier.isbn9783642218804
dc.identifier.issn03029743
dc.identifier.doi10.1007/978-3-642-21881-1_45
dc.identifier.urihttp://hdl.handle.net/10754/564338
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.
dc.publisherSpringer Nature
dc.subjectdecision trees
dc.subjectdepth
dc.subjectnumber of misclassifications
dc.titleRelationships between depth and number of misclassifications for decision trees
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentExtensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group
dc.contributor.departmentComputer Science Program
dc.identifier.journalRough Sets, Fuzzy Sets, Data Mining and Granular Computing
dc.conference.date25 June 2011 through 27 June 2011
dc.conference.name13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011
dc.conference.locationMoscow
kaust.personChikalov, Igor
kaust.personHussain, Shahid
kaust.personMoshkov, Mikhail


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