Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …

Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …

Techniques to discover Petri nets from event data assume precisely one case identifier per
event. These case identifiers are used to correlate events, and the resulting discovered Petri …

Process mining dramatically changed the way we look at process models and operational
processes. Even seemingly simple processes like Purchase-to-Pay (P2P) and Order-to …

Process Mining is a novel technology that helps enterprises to better understand their
business processes. Over the last 20 years, intensive research has been conducted into …

Process discovery is probably the most interesting, but also most challenging, process
mining task. The goal is to take an event log containing example behaviors and create a …

Traditional approaches for process modeling and process analysis tend to focus on one type
of object (also referred to as cases or instances), and each event refers to precisely one …

Process event data is usually stored either in a sequential process event log or in a
relational database. While the sequential, single-dimensional nature of event logs aids …

By relating observed and modelled behaviour, conformance checking unleashes the full
power of process mining. Techniques from this discipline enable the analysis of the quality …