Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij...
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
The digital world enables the creation of personalized documents. In this paper we are interested in describing a computer mediated activity by a person throughout a semi-automati...
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
Adaptive query processing schemes attempt to reoptimize query plans during the course of query execution. A variety of techniques for adaptive query processing have been proposed,...