This paper reports on ongoing work towards a novel approach to process mining to support security audits in dynamic PAIS.

In today’s dynamic business world economic success of an enterprise increasingly depends on its ability to react to internal and external changes in a quick and flexible way. In response to this need, processaware information systems (PAIS) emerged, which support the modeling, orchestration and monitoring of business processes and services respectively. Recently, a new generation of flexible PA...

The discovery of process models out of system traces is an interesting problem that has received significant attention in the last years. In this work, a theory for the derivation of a Petri net from a set of traces is presented. The method is based on the theory of abstract interpretation, which has been applied successfully in other areas. The principal application of the theory presented is ...

Process mining is an accessible technique to visualize and analyze process variation and yield improvements. We experienced that Process Mining can help to overcome some of the barriers of the Six Sigma DMAIC cycle in improvement projects. This results in a significant acceleration to complete such a cycle.

Information Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were d...

Evidence-based BPM has gained significant momentum in recent years, thanks to the widespread adoption of enterprise systems that store detailed business process execution data in event logs. Techniques for analyzing business processes using event logs are termed “process mining” techniques. Their objective is to aid business analysts in improving business processes by learning knowledge from ma...

Information systems are becoming more and more intertwined with the operational processes in most organizations. As a result, a multitude of events are recorded by today’s information systems. The goal of process mining is to use these event data to extract processrelated information, e.g., to automatically discover a process model by observing events recorded by some enterprise system. This in...

This is a brief report on Andrey Mokhov’s visit to Josep Carmona’s research lab in Universitat Politècnica de Catalunya. The report summarises potential benefits that Parameterised Graphs (PGs) [1] can bring to the domain of process mining [2] and outlines important challenges to be addressed in future research. The authors intend to elaborate on the presented ideas in followup peer reviewed pu...

A case study on the theoretical and practical value of using process mining for the detection of fraudulent behavior in the procurement process Abstract This thesis presents the results of a six month research period on process mining and fraud detection. This thesis aimed to answer the research question as to how process mining can be utilized in fraud detection and what the benefits of using ...