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Comparison of Data Mining Algorithms for Emg Signals

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dc.contributor.author Taşkan Demirkok, Burcu
dc.contributor.author Elbaşı, Ersin
dc.date.accessioned 2020-04-15T10:32:29Z
dc.date.available 2020-04-15T10:32:29Z
dc.date.issued 2018
dc.identifier.citation Taskan Demirkok, Burcu; Elbasi, Ersin, "Comparison of Data Mining Algorithms for EMG Signals", Icecco'12: 9th International Conference On Electronics, Computer and Computation, pp. 45-48, (2012) tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/3138
dc.description.abstract The aim of this study is to compare data mining algorithms and having a significant result using selected data mining algorithm on data which was collected during the "The Muscular Activity Analysis of Circumoral and Jaw-Closing Muscles Response To The Trainer on Patients With Class II Malocclusion Using Electromyogram" project. This document gives the accuracy rate of selected data mining algorithms on data set with using WEKA data mining tool. tr_TR
dc.language.iso eng tr_TR
dc.publisher Turgut Ozal Univ tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Data Mining tr_TR
dc.subject Data Mining Classification Algorithms tr_TR
dc.subject Data Mining Clustering Algorithms tr_TR
dc.subject EMG Registrations tr_TR
dc.subject Herbst and Twin-Block Appliances tr_TR
dc.subject WEKA Data Mining Tool tr_TR
dc.title Comparison of Data Mining Algorithms for Emg Signals tr_TR
dc.type workingPaper tr_TR
dc.relation.journal Icecco'12: 9th International Conference On Electronics, Computer and Computation tr_TR
dc.identifier.startpage 45 tr_TR
dc.identifier.endpage 48 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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