2017
Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction
ICASSP 2017accepted
In this paper, we consider the problem of event prediction with multi-variate time series data consisting of heterogeneous (continuous and categorical) variables. The complex dependencies between the variables combined with asynchronicity and sparsity of the data makes the event prediction problem p…