Process Modelling Based on Event Logs

Hierarchical Conformance Checking of Process Models Based on Event Logs

Process mining techniques aim to extract knowledge from event logs. Conformance checking is one of the hard problems in process mining: it aims to diagnose and quantify the mismatch between observed and modeled behavior. Precise conformance checking implies solving complex optimization problems and is therefore computationally challenging for real-life event logs. In this paper a technique to a...

SecSy: Synthesizing Process Event Logs

One difficulty at developing mechanisms for business process security monitoring and auditing is the lack of representative, controllably generated test runs to serve as an evaluation basis. This paper presents an approach and the corresponding tool support for event log synthesis. The novelty is that it considers the activity of an “attacker” able to purposefully infringe security and complian...

Utility-Based Control Flow Discovery from Business Process Event Logs

Repairing Event Logs Using Timed Process Models

Process mining aims to infer meaningful insights from process-related data and attracted the attention of practitioners, tool-vendors, and researchers in recent years. Traditionally, event logs are assumed to describe the as-is situation. But this is not necessarily the case in environments where logging may be compromised due to manual logging. For example, hospital staff may need to manually ...

Finding Process Variants in Event Logs

The analysis of event data is particularly challenging when there is a lot of variability. Often, there are different variants of the same process, thus cluttering the overall representations of these processes, such as process models. Therefore, it is important to automatically detect process variants and support the analysis of individual variants and their comparison. Existing approaches can...