The growing interest in process mining is fueled by the increasing availability of event data.
Process mining techniques use event logs to automatically discover process models, check …

Recently there has been increasing research interest in displaying graphs with curved
edges to produce more readable visualizations. While there are several automatic …

Abstract Information visualization focuses on the use of techniques to help people
understand and analyze data. This chapter puts multivariate networks in the context of the …

Process models can be seen as “maps” describing the operational processes of
organizations. Traditional process discovery algorithms have problems dealing with fine …

This paper firstly provides a general introduction in the most important aspects and ideas of
Visual Analytics. This multidisciplinary field focuses on the analytical reasoning of typically …

Process mining has made significant progress in less than a decade since its inception.
Process mining techniques attempt to extract non-trivial process related knowledge and …

A real-life event log, taken from a Dutch Academic Hospital, is analyzed using process
mining techniques. The log contains events related to treatment and diagnosis steps for …

Much of the data generated and analyzed in the life sciences can be interpreted and
represented by networks or graphs. Network analysis and visualization methods help in …

Interoperability is a software property for exchanging and using information between
software systems. Some interoperability proposals are intended to use metamodels, models …

Networks are widely used in modeling relational data often comprised of thousands of
nodes and edges. This kind of data alone implies a challenge for its visualization as it is …