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