We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
ARTISST (ARTISST is a Real-Time System Simulation Tool) is a modular event-driven simulation framework for real-time systems. It is targeted towards the performance evaluation of ...
This paper deals with a class of Prolog programs, called context-free term transformations (CFT). We present a polynomial time algorithm to identify a subclass of CFT, whose progr...
—Past research on temporal databases has primarily focused on state-based representations and on relational query language extensions for such representations. This led to many d...