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07/11/2023
The Impact of Process Complexity on Process Performance: A Study using Event Log Data
Complexity is an important characteristic of any business process. The k...
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04/09/2023
Large Language Models for Business Process Management: Opportunities and Challenges
Large language models are deep learning models with a large number of pa...
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06/20/2022
Event-Case Correlation for Process Mining using Probabilistic Optimization
Process mining supports the analysis of the actual behavior and performa...
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02/16/2022
Causal Process Mining from Relational Databases with Domain Knowledge
The plethora of algorithms in the research field of process mining build...
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02/16/2022
A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework
Event sequence data is increasingly available. Many business operations ...
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07/21/2021
Theory and Practice of Algorithm Engineering
There is an ongoing debate in computer science how algorithms should bes...
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05/03/2021
Process Model Forecasting Using Time Series Analysis of Event Sequence Data
Process analytics is an umbrella of data-driven techniques which include...
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11/23/2020
Conformance Checking of Mixed-paradigm Process Models
Mixed-paradigm process models integrate strengths of procedural and decl...
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11/17/2020
Visual Drift Detection for Event Sequence Data of Business Processes
Event sequence data is increasingly available in various application dom...
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08/21/2020
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
This paper presents a command-line tool, called Entropia, that implement...
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07/15/2019
