Nowadays, in a competitive and dynamic environment of businesses, organizations need to moni-tor, analyze and improve business processes with the use of Business Process Management Systems(BPMSs). Management, prediction and time control of events in BPMS is one of the major chal-lenges of this area of research that has attracted lots of researchers. In this paper, we present a...

Business process management systems are well equipped to support the enactment of business processes. However, relations between process instances have not sufficiently been taken into account. To improve the execution of related process instances, batch activities have been introduced, which are based on jointly executing process activities. When analyzing real-world business processes, we enc...

Planning is an important approach to developing complex applications composed of web services, based upon semantic annotations of these services. Despite numerous publications in recent years, the problems considered in the literature typically do not require planning as it has been well-defined in computer science. This could lead to confusion about which technologies are being designated, and...

Existing work in process mining focuses on the discovery of the underlying process model from their instances. In this paper, we do not assume the existence of a single process model to which all process instances comply, and the goal is to discover a set of frequently occurring temporal patterns. Discovery of temporal patterns can be applied to various application domains to support crucial bu...

Process Mining techniques aim at building a process model starting from an event log generated during the execution of the process. Classical process mining approaches have problems when dealing with Spaghetti Processes, i.e. processes with little or no structure, since they obtain very chaotic models. As a remedy, in previous works we proposed a methodology aimed at supporting the analysis of ...