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...
A challenge for any enterprise is to ensure conformance of its business processes with imposed compliance rules. The latter may constrain multiple perspectives of a business proces...
David Knuplesch, Manfred Reichert, Akhil Kumar 000...
Abstract. The number of business process models is constantly increasing as companies realize the competitive advantage of managing their processes. Measuring their size and struct...
Abstract. Process mining techniques allow process analysts to generate process models from recorded event logs. Typically, process mining considers the event log as a whole and cre...
Abstract. The field of process mining is concerned with supporting the analysis, improvement and understanding of business processes. A range of promising techniques have been pro...
Sebastiaan J. van Zelst, Boudewijn F. van Dongen, ...
In this paper we illustrate a set of features of the Apromore process model repository for analyzing business process variants. Two types of analysis are provided: one is static an...
Raffaele Conforti, Marlon Dumas, Marcello La Rosa,...
This paper demonstrates the integration and usage of Process Query Language (PQL), a special-purpose programming language for querying large collections of process models based on ...
Artem Polyvyanyy, Luigi Corno, Raffaele Conforti, ...