Mining rare event classes in noisy EEG by over sampling techniques

Abstract

Mining is processing data to obtain interesting pattern or knowledge. Noisy EEG can be received on some abnormal state of brain activities. These signals can be logged in data sheets and the samples are taken to identify the rare events. The sampling technique here we used is SMOTE (Synthetic Minority Over-sampling Technique). An approach to the… (More)

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