Event Title

Analyzing EEG Data of Alcoholic Patients Using Time Series Analysis and Machine Learning Techniques

Presenter Information

Regie Felix

Presentation Type

Poster Presentation

College

College of Natural Sciences

Location

Event Center B

Faculty Mentor

Dr. Arturo Concepcion

Start Date

2-27-2013 10:10 AM

End Date

2-27-2013 6:00 PM

Abstract

Time series are data take in time intervals. This analysis can predict future data in three steps: preprocessing, analysis, and diagnostics. Time series classification uses machine learning (decision trees and artificial neural networks) to classify a dataset. We analyzed EEG data of alcoholics and non-alcoholics to predict their status.

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Feb 27th, 10:10 AM Feb 27th, 6:00 PM

Analyzing EEG Data of Alcoholic Patients Using Time Series Analysis and Machine Learning Techniques

Event Center B

Time series are data take in time intervals. This analysis can predict future data in three steps: preprocessing, analysis, and diagnostics. Time series classification uses machine learning (decision trees and artificial neural networks) to classify a dataset. We analyzed EEG data of alcoholics and non-alcoholics to predict their status.