The Internet of things has been adopted in several sectors both influencing how people work
and enhancing organizations' business processes. This resulted in the rise of relevant …

Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

Streaming process mining refers to the set of techniques and tools which have the goal of
processing a stream of data (as opposed to a finite event log). The goal of these techniques …

In process mining, the challenge is typically to turn raw event data into meaningful models,
insights, or actions. One of the key problems of a data-driven analysis of processes, is the …

Conformance checking–a branch of process mining–focuses on establishing to what extent
actual executions of a process are in line with the expected behavior of a reference model …

Abstract The Internet of Things (IoT) is rapidly develo** in diverse and critical applications
such as environmental sensing and industrial control systems. IoT devices can be very …

Event log anomaly detection aims at identifying anomalous information in the logs
generated by the execution of business processes. While several techniques for detecting …

Business process simulation marks an essential technique for analyzing business
processes and for reasoning about process improvement. With first contributions dating back …

The presence of anomalous information in a business process event log, such as missing,
duplicated or swapped events, hampers the possibility of extracting useful insights from …

In this paper, we propose DeepAlign, a novel approach to multi-perspective process
anomaly correction, based on recurrent neural networks and bidirectional beam search. At …