Analysis of epileptic EEG signals with simple random sampling J48 algorithm
Article
Article Title | Analysis of epileptic EEG signals with simple random sampling J48 algorithm |
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ERA Journal ID | 210628 |
Article Category | Article |
Authors | Wang, Shuaifang (Author), Zhu, Guohun (Author), Li, Yan (Author), Wen, Peng (Author) and Song, Bo (Author) |
Journal Title | International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB) |
Journal Citation | 4 (2), pp. 78-81 |
Number of Pages | 4 |
Year | 2014 |
Place of Publication | Singapore |
ISSN | 2010-3638 |
Digital Object Identifier (DOI) | https://doi.org/10.7763/IJBBB.2014.V4.314 |
Web Address (URL) | http://www.ijbbb.org/papers/314-E0005.pdf |
Abstract | This paper describes the application of a Simple Random Sampling J48 (SRS-J48) model for classification of electroencephalogram (EEG) signals. Decision making is performed in two stages: feature extraction and classification. Eight statistical features are extracted from a two-level sample set model based on SRS technique and then classified by the J48 decision tree algorithm in Weka. The classification accuracy of the SRS-J48 is 16.35% higher than that of J48 according to the five groups of experiment with only 13% execution time on average. Besides, the proposed SRS-J48 algorithm has competitive or even better results on some of the experimental groups than Siuly’s Simple Random Sampling-Least Square-Support Vector Machine (SRS-LS-SVM). |
Keywords | epilepsy; simple random sampling (SRS); feature extraction |
ANZSRC Field of Research 2020 | 460306. Image processing |
Public Notes | No indication of copyright restrictions. 'International Journal of Bioscience, Biochemistry and Bioinformatics (IJBBB) is an international academic open access journal' |
Byline Affiliations | Centre for Systems Biology |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2550/analysis-of-epileptic-eeg-signals-with-simple-random-sampling-j48-algorithm
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