Comparison of Feature Selection Algorithms for Medical Data
| gdc.relation.journal | 2012 International Symposium on Innovations in Intelligent Systems and Applications | en_US |
| dc.contributor.author | Dağ, Hasan | |
| dc.contributor.author | Sayın, Kamran Emre | |
| dc.contributor.author | Yenidoğan, Işıl | |
| dc.contributor.author | Albayrak, Songül Varli | |
| dc.contributor.author | Acar, Can | |
| dc.contributor.other | Management Information Systems | |
| dc.contributor.other | 03. Faculty of Economics, Administrative and Social Sciences | |
| dc.contributor.other | 01. Kadir Has University | |
| dc.date.accessioned | 2019-06-28T11:11:07Z | |
| dc.date.available | 2019-06-28T11:11:07Z | |
| dc.date.issued | 2012 | |
| 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.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2012 International Symposium on Innovations in Intelligent Systems and Applications | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| 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 | |
| gdc.author.institutional | Dağ, Hasan | en_US |
| gdc.author.institutional | Dağ, Hasan | |
| gdc.author.institutional | Yenidoğan, Işıl | en_US |
| gdc.author.institutional | Yenidoğan Dağ, Işıl | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C4 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü | en_US |
| gdc.description.endpage | 5 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
| gdc.identifier.openalex | W2133218970 | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 3.0 | |
| gdc.oaire.influence | 4.104483E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | Information gain | |
| gdc.oaire.keywords | Gain ratio | |
| gdc.oaire.keywords | Correlation Based Feature Selection (CFS) | |
| gdc.oaire.keywords | Data mining | |
| gdc.oaire.keywords | Feature selection algorithms | |
| gdc.oaire.keywords | Discretization | |
| gdc.oaire.popularity | 1.0200394E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.fwci | 1.153 | |
| gdc.openalex.normalizedpercentile | 0.94 | |
| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 15 | |
| gdc.plumx.crossrefcites | 3 | |
| gdc.plumx.mendeley | 42 | |
| gdc.plumx.scopuscites | 17 | |
| gdc.scopus.citedcount | 17 | |
| 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 | acb86067-a99a-4664-b6e9-16ad10183800 | |
| relation.isOrgUnitOfPublication | b20623fc-1264-4244-9847-a4729ca7508c | |
| relation.isOrgUnitOfPublication.latestForDiscovery | ff62e329-217b-4857-88f0-1dae00646b8c |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Comparison of feature selection algorithms for medical data.pdf
- Size:
- 776.22 KB
- Format:
- Adobe Portable Document Format
- Description: