The research field of Business Process Management (BPM) has gradually developed as a
discipline situated within the computer, management and information systems sciences. Its …

During the last decade, various approaches have been put forward to integrate business
processes with different types of data. Each of these approaches reflects specific demands …

Process mining aims to extract information from recorded process data, which can be used
to gain insights into the process. This requires applying a discovery algorithm and settings …

Purpose Significant numbers of business process management (BPM) projects fail. Their
failure is attributed toward many factors. Among them, low quality of BPM is one reason …

Process mining techniques require event logs which, in many cases, are obtained from
databases. Obtaining these event logs is not a trivial task and requires substantial domain …

The literature discusses data science (DS) as a very promising set of techniques and tools to
support lean production (LP) practices. DS could aid manufacturing companies in …

We provide a characterization of the resolution width introduced in the context of
propositional proof complexity in terms of the existential pebble game introduced in the …

During the last decade, various approaches have been put forward to integrate business
processes with different types of data. Each of these approaches reflects specific demands …

Existing process modeling notations ranging from Petri nets to BPMN have difficulties
capturing the data manipulated by processes. Process models often focus on the control …

We propose DAB–a data-aware extension of BPMN where the process operates over case
and persistent data (partitioned into a read-only database called catalog and a read-write …