Comparison of Feature Selection Algorithms for Medical Data

dc.contributor.author Dağ, Hasan
dc.contributor.author Dağ, Hasan
dc.contributor.author Sayın, Kamran Emre
dc.contributor.author Yenidoğan Dağ, Işıl
dc.contributor.author Yenidoğan, Işıl
dc.contributor.author Albayrak, Songül Varli
dc.contributor.author Acar, Can
dc.contributor.other Management Information Systems
dc.date.accessioned 2019-06-28T11:11:07Z
dc.date.available 2019-06-28T11:11:07Z
dc.date.issued 2012
dc.department Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü en_US
dc.description.abstract Data mining application areas widen day by day. Among those areas medical area has been receiving quite a big attention. However working with very large data sets with many attributes is hard. Experts in this field use heavily advanced statistical analysis. The use of data mining techniques is fairly new. This paper compares three feature selection algorithms on medical data sets and comments on the importance of discretization of attributes. © 2012 IEEE. en_US]
dc.identifier.citationcount 16
dc.identifier.doi 10.1109/INISTA.2012.6247011 en_US
dc.identifier.isbn 9781467314466
dc.identifier.scopus 2-s2.0-84866605750 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1468
dc.identifier.uri https://doi.org/10.1109/INISTA.2012.6247011
dc.institutionauthor Dağ, Hasan en_US
dc.institutionauthor Sayın, Kamran Emre en_US
dc.institutionauthor Yenidoğan, Işıl en_US
dc.institutionauthor Acar, Can en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.journal 2012 International Symposium on Innovations in Intelligent Systems and Applications en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 17
dc.subject Correlation Based Feature Selection (CFS) en_US
dc.subject Data mining en_US
dc.subject Discretization en_US
dc.subject Feature selection algorithms en_US
dc.subject Gain ratio en_US
dc.subject Information gain en_US
dc.title Comparison of Feature Selection Algorithms for Medical Data en_US
dc.type Conference Object en_US
dspace.entity.type Publication
relation.isAuthorOfPublication e02bc683-b72e-4da4-a5db-ddebeb21e8e7
relation.isAuthorOfPublication b095370a-50e0-4855-a720-bf27c9cf16a6
relation.isAuthorOfPublication.latestForDiscovery e02bc683-b72e-4da4-a5db-ddebeb21e8e7
relation.isOrgUnitOfPublication ff62e329-217b-4857-88f0-1dae00646b8c
relation.isOrgUnitOfPublication.latestForDiscovery ff62e329-217b-4857-88f0-1dae00646b8c

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Comparison of feature selection algorithms for medical data.pdf
Size:
776.22 KB
Format:
Adobe Portable Document Format
Description: