The Role of Data Reduction for Diagnosis of Pathologies of the Vertebral Column by Using Supervised Learning Algorithms

dc.contributor.authorBah, Thibaut Judicael
dc.contributor.authorKarlik, Bekir
dc.date.accessioned2020-03-26T19:07:40Z
dc.date.available2020-03-26T19:07:40Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description18th International Conference on Soft Computing and Measurement (SCM) -- MAY 19-21, 2015 -- St Petersburg, RUSSIAen_US
dc.description.abstractToday in data mining research we are daily confronted with large amount of data. Most of the time, these data contain redundant and irrelevant data that it is important to extract before a learning task in order to get good accuracy. The fact that today's computers are more powerful does not solves the problems of this ever-growing data. It is therefore crucial to find techniques which allow handling these large databases often too big to be processed. Data reduction techniques are therefore a very important step to prepare the data before data mining and knowledge discovery. In this paper we present a comparative study on original and reduced data to see the role data reduction in a learning task. For this purpose, we used a medical dataset; especially a vertebral column pathologies database.en_US
dc.identifier.endpage166en_US
dc.identifier.isbn978-1-4673-6961-9
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage163en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32686
dc.identifier.wosWOS:000380607100048en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 XVIII International Conference on Soft Computing and Measurements (SCM)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectLumbar Disc Herniaen_US
dc.subjectSpondylolisthesisen_US
dc.subjectDiagnosisen_US
dc.subjectPattern Recognitionen_US
dc.subjectMachine learningen_US
dc.titleThe Role of Data Reduction for Diagnosis of Pathologies of the Vertebral Column by Using Supervised Learning Algorithmsen_US
dc.typeConference Objecten_US

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