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A case-study on learning from large-scale intracranial EEG data using multi-core machines and clusters
Proceedings of the Third Workshop on Large Scale Data Mining Theory and Applications - LDMTA '11
Epilepsy is a chronic neurological disorder characterized by recurrent, unprovoked seizures that manifest in a variety of ways, including emotional or behavioral disturbances, convulsive movements, and loss of awareness. The problem of prediction of epileptic seizures is hard and most algorithms do not perform better than a random predictor  . An important reason why studies so far have been less than successful is that electroencephalogram (EEG) is not recorded at the granularity of thedoi:10.1145/2002945.2002949 fatcat:2q4nua4m6jechhrkdwfe5cmuni