Comparison of Data Mining Algorithms for Emg Signals
No Thumbnail Available
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Turgut Ozal Univ
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
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.
Description
Keywords
Data Mining, Data Mining Classification Algorithms, Data Mining Clustering Algorithms, EMG Registrations, Herbst and Twin-Block Appliances, WEKA Data Mining Tool
Turkish CoHE Thesis Center URL
Fields of Science
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)
WoS Q
Scopus Q
Source
Icecco'12: 9th International Conference On Electronics, Computer and Computation
Volume
Issue
Start Page
45
End Page
48