In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
The efficient simulation of multi-agent systems presents particular challenges which are not addressed by current parallel discrete event simulation (PDES) models and techniques. ...
Michael Lees, Brian Logan, Rob Minson, Ton Oguara,...
Abstract. Process Mining is a technique for extracting process models from execution logs. This is particularly useful in situations where people have an idealized view of reality....
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service matc...
Ana Karla Alves de Medeiros, Wil M. P. van der Aal...
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...