Time Series Deinterleaving of DNS Traffic

no code implementations • 16 Jul 2018 • Amir Asiaee, Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee

Stream deinterleaving is an important problem with various applications in the cybersecurity domain.

BIG-bench Machine Learning Time Series +1

R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting

no code implementations • 10 Sep 2017 • Hardik Goel, Igor Melnyk, Arindam Banerjee

In many multivariate time series modeling problems, there is usually a significant linear dependency component, for which VARs are suitable, and a nonlinear component, for which RNNs are suitable.

Multivariate Time Series Forecasting Time Series