172 citations · 398 across the 19 of their papers we have counts for
22 papers
How do users design scientific workflows? The Case of Snakemake
Sebastian Pohl, Nourhan Elfaramawy, Kedi Cao +2
Scientific workflows automate the analysis of large-scale scientific data, fostering the reuse of data processing operators as well as the reproducibility and traceability of analy…
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization
Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich +1
Anonymization of event logs facilitates process mining while protecting sensitive information of process stakeholders. Existing techniques, however, focus on the privatization of t…
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction
Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen +4
Advances in deep neural network (DNN) architectures have enabled new prediction techniques for stock market data. Unlike other multivariate time-series data, stock markets show two…
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Thanh Tam Nguyen, Thanh Cong Phan, Minh Hieu Nguyen +4
The propagation of rumours on social media poses an important threat to societies, so that various techniques for rumour detection have been proposed recently. Yet, existing work f…
Detecting Rumours with Latency Guarantees using Massive Streaming Data
Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin +4
Today's social networks continuously generate massive streams of data, which provide a valuable starting point for the detection of rumours as soon as they start to propagate. Howe…
GECCO: Constraint-driven Abstraction of Low-level Event Logs
Adrian Rebmann, Matthias Weidlich, Han van der Aa
Process mining enables the analysis of complex systems using event data recorded during the execution of processes. Specifically, models of these processes can be discovered from e…
SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining
Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel +2
Privacy-preserving process mining enables the analysis of business processes using event logs, while giving guarantees on the protection of sensitive information on process stakeho…
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa +1
To enable process analysis based on an event log without compromising the privacy of individuals involved in process execution, a log may be anonymized. Such anonymization strives…
Privacy-aware Process Performance Indicators: Framework and Release Mechanisms
Martin Kabierski, Stephan Fahrenkrog-Petersen, Matthias Weidlich
Process performance indicators (PPIs) are metrics to quantify the degree with which organizational goals defined based on business processes are fulfilled. They exploit the event l…
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio +6
This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from informa…
Partial Order Resolution of Event Logs for Process Conformance Checking
Han van der Aa, Henrik Leopold, Matthias Weidlich
While supporting the execution of business processes, information systems record event logs. Conformance checking relies on these logs to analyze whether the recorded behavior of a…
PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information
Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich
Event logs capture the execution of business processes in terms of executed activities and their execution context. Since logs contain potentially sensitive information about the i…
Quantifying the Re-identification Risk of Event Logs for Process Mining
S. Nuñez von Voigt, S. A. Fahrenkrog-Petersen, D. Janssen +5
Event logs recorded during the execution of business processes constitute a valuable source of information. Applying process mining techniques to them, event logs may reveal the ac…
Secure Multi-Party Computation for Inter-Organizational Process Mining
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas +3
Process mining is a family of techniques for analysing business processes based on event logs extracted from information systems. Mainstream process mining tools are designed for i…
Parallel Computation of Graph Embeddings
Chi Thang Duong, Hongzhi Yin, Thanh Dat Hoang +4
Graph embedding aims at learning a vector-based representation of vertices that incorporates the structure of the graph. This representation then enables inference of graph propert…
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa +4
Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outc…
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich +3
Deep learning models are trained on servers with many GPUs, and training must scale with the number of GPUs. Systems such as TensorFlow and Caffe2 train models with parallel synchr…
Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems
Artem Polyvyanyy, Andreas Solti, Matthias Weidlich +2
The behavioural comparison of systems is an important concern of software engineering research. For example, the areas of specification discovery and specification mining are conce…
The Internet-of-Things Meets Business Process Management: A Manifesto
Christian Janiesch, Agnes Koschmider, Massimo Mecella +20
The Internet of Things (IoT) refers to a network of connected devices collecting and exchanging data over the Internet. These things can be artificial or natural, and interact as a…
Blockchains for Business Process Management - Challenges and Opportunities
Jan Mendling, Ingo Weber, Wil van der Aalst +29
Blockchain technology promises a sizable potential for executing inter-organizational business processes without requiring a central party serving as a single point of trust (and f…
Modeling Styles in Business Process Modeling
Jakob Pinggera, Pnina Soffer, Stefan Zugal +5
Research on quality issues of business process models has recently begun to explore the process of creating process models. As a consequence, the question arises whether different…
Tying Process Model Quality to the Modeling Process: The Impact of Structuring, Movement, and Speed
Jan Claes, Irene Vanderfeesten, Hajo A. Reijers +7
In an investigation into the process of process modeling, we examined how modeling behavior relates to the quality of the process model that emerges from that. Specifically, we con…