A Data Mining Method for Refining Groups in Data Using Dynamic Model Based Clustering

dc.contributor.author Servi, Tayfun
dc.contributor.author Erol, H.
dc.date.accessioned 2025-09-25T10:38:27Z
dc.date.available 2025-09-25T10:38:27Z
dc.date.issued 2013
dc.description Servi, Tayfun/0000-0002-3173-327X; Erol, Hamza/0000-0001-8983-4797 en_US
dc.description.abstract A new data mining method is proposed for determining the number and structure of clusters, and refining groups in multivariate heterogeneous data set including groups, partly and completely overlapped group structures by using dynamic model based clustering. It is called dynamic model based clustering since the structure of model changes at each stage of refinement process dynamically. The proposed data mining method works without data reduction for high dimensional data in which some of variables including completely overlapped situations. © 2013 IEEE. © 2013 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.1109/INISTA.2013.6577645
dc.identifier.isbn 9781479906611
dc.identifier.scopus 2-s2.0-84883361202
dc.identifier.uri https://doi.org/10.1109/INISTA.2013.6577645
dc.identifier.uri https://hdl.handle.net/20.500.12573/3050
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof -- 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013 -- Albena -- 99004 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Data Mining en_US
dc.subject Dynamic Model Based Clustering en_US
dc.subject Refining Groups In Data en_US
dc.subject Data Mining Methods en_US
dc.subject Group Structure en_US
dc.subject Heterogeneous Data en_US
dc.subject High Dimensional Data en_US
dc.subject Model Change en_US
dc.subject Model-Based Clustering en_US
dc.subject Refinement Process en_US
dc.subject Dynamic Models en_US
dc.subject Intelligent Systems en_US
dc.subject Refining en_US
dc.subject Data Mining en_US
dc.title A Data Mining Method for Refining Groups in Data Using Dynamic Model Based Clustering en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Servi, Tayfun/0000-0002-3173-327X
gdc.author.id Erol, Hamza/0000-0001-8983-4797
gdc.author.scopusid 36626240200
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gdc.author.wosid Servi, Tayfun/Aah-5006-2019
gdc.author.wosid Erol, Hamza/P-1359-2016
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gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Servi] Tayfun, Department of Elementary Education, Adiyaman Üniversitesi, Adiyaman, Turkey; [Erol] H., Department of Software Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey en_US
gdc.description.endpage 6
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
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gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
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