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Conformance checking: a state-of-the-art literature review
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 …
with a given process model. It identifies deviations between the process instances' actual …
Extraction, correlation, and abstraction of event data for process mining
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 …
business processes based on data that was recorded in different types of information …
Conformance checking
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 …
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
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 …
of business processes at runtime. It helps identify problems before they occur and re …
Conformance checking: foundations, milestones and challenges
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 …
power of process mining. Techniques from this discipline enable the analysis of the quality …
Conformance checking based on multi-perspective declarative process models
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 …
data recorded in event logs. Conformance checking is a branch of this discipline embracing …
Stochastic process mining: Earth movers' stochastic conformance
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 …
recent years the use and importance of conformance checking has increased. Conformance …
[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 …
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 …
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
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 …
logs contain so-called noise, eg, infrequent outliers or recording errors, which obscure the …