Conformance checking: a state-of-the-art literature review

S Dunzer, M Stierle, M Matzner, S Baier - Proceedings of the 11th …, 2019 - dl.acm.org
Conformance checking is a set of process mining functions that compare process instances
with a given process model. It identifies deviations between the process instances' actual …

Extraction, correlation, and abstraction of event data for process mining

K Diba, K Batoulis, M Weidlich… - … Reviews: Data Mining …, 2020 - Wiley Online Library
Process mining provides a rich set of techniques to discover valuable knowledge of
business processes based on data that was recorded in different types of information …

Conformance checking

J Carmona, B van Dongen, A Solti… - … : Springer.[Google Scholar], 2018 - Springer
A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …

Machine learning in business process monitoring: a comparison of deep learning and classical approaches used for outcome prediction

W Kratsch, J Manderscheid, M Röglinger… - Business & Information …, 2021 - Springer
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes
of business processes at runtime. It helps identify problems before they occur and re …

Conformance checking: foundations, milestones and challenges

J Carmona, B van Dongen, M Weidlich - Process mining handbook, 2022 - Springer
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 …

Stochastic process mining: Earth movers' stochastic conformance

SJJ Leemans, WMP van der Aalst, T Brockhoff… - Information Systems, 2021 - Elsevier
Initially, process mining focused on discovering process models from event data, but in
recent years the use and importance of conformance checking has increased. Conformance …

Conformance checking based on multi-perspective declarative process models

A Burattin, FM Maggi, A Sperduti - Expert systems with applications, 2016 - Elsevier
Process mining is a family of techniques that aim at analyzing business process execution
data recorded in event logs. Conformance checking is a branch of this discipline embracing …

[PDF][PDF] Multi-perspective process mining

F Mannhardt - 2018 - research.tue.nl
This thesis is about process mining: the analysis an organization's processes by using
process execution data. During the handling of a case or process instance data about the …

Analyzing the trajectories of patients with sepsis using process mining

F Mannhardt, D Blinde - RADAR+ EMISA 2017, 2017 - research.tue.nl
Process mining techniques analyze processes based on event data. We analyzed the
trajectories of patients in a Dutch hospital from their registration in the emergency room until …

Data-driven process discovery-revealing conditional infrequent behavior from event logs

F Mannhardt, M De Leoni, HA Reijers… - … , CAiSE 2017, Essen …, 2017 - Springer
Process discovery methods automatically infer process models from event logs. Often, event
logs contain so-called noise, eg, infrequent outliers or recording errors, which obscure the …