Temporal workflows are becoming increasingly important in many real-world applications. In such workflows, activity durations and times are specified and it is necessary to ensure ...
Akhil Kumar 0001, Sharat R. Sabbella, Russell R. B...
Business processes are prone to continuous and unexpected changes. Process workers may start executing a process differently in order to adjust to changes in workload, season, gui...
Abderrahmane Maaradji, Marlon Dumas, Marcello La R...
Abstract. This paper addresses the problem of predicting the outcome of an ongoing case of a business process based on event logs. In this setting, the outcome of a case may refer ...
Anna Leontjeva, Raffaele Conforti, Chiara Di Franc...
Developing and implementing data-oriented workflows for data migration processes are complex tasks involving several problems related to the integration of data coming from differe...
Bruno Oliveira, Vasco Santos, Claudia Gomes, Ricar...
In contrast to contemporary activity-centric process-aware information systems (PAIS), for which a multitude of concepts and implementations exist, there is only a very limited num...
Kevin Andrews, Sebastian Steinau, Manfred Reichert
Predictive process monitoring is concerned with exploiting event logs to predict how running (uncompleted) cases will unfold up to their completion. In this paper, we propose an im...
Marco Federici, Williams Rizzi, Chiara Di Francesc...
Abstract. The increasing adoption of process-aware information systems (PAISs) has resulted in large process model collections involving different process participants. We present ...
Klaus Kammerer, Jens Kolb, Kevin Andrews, Stefan B...
Connecting to business partners electronically is one of the most important information technology management issues. Interactive forms enable companies to automate processes with ...
Process Mining techniques rely on the existence of event data. However, in many cases it is far from trivial to obtain such event data. Considerable efforts may need to be spent on...