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ORCIDPeter Fettke
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- affiliation: German Research Center for Artificial Intelligence (DFKI), Germany
- affiliation: Saarland University, Germany
- affiliation (former): University of Mainz, Germany
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2020 – today
- 2025
[e3]Motoshi Saeki, Leah Wong, João Araújo
, Clara Ayora, Anna Bernasconi, Matteo Buffa, Silvana Castano, Peter Fettke, Hans-Georg Fill, Alberto García S., Miguel Goulão, Cristine Griffo, Jin-Taek Jung, Julius Köpke, Beatriz Marín, Stefano Montanelli, Edelweis Rohrer, José F. Reyes Román:
Advances in Conceptual Modeling - ER 2024 Workshops, AISA, CMLS, EmpER, QUAMES, JUSMOD, LLM4Modeling, Pittsburgh, PA, USA, October 28-31, 2024, Proceedings. Lecture Notes in Computer Science 14932, Springer 2025, ISBN 978-3-031-75598-9 [contents]- 2024
- [b1]Peter Fettke, Wolfgang Reisig:
Understanding the Digital World - Modeling with HERAKLIT. Springer 2024, ISBN 978-3-031-61897-0, pp. 1-186 - [j57]Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization. Cogn. Comput. 16(5): 2674-2700 (2024) - [j56]Nijat Mehdiyev, Lea Mayer, Johannes Lahann, Peter Fettke:
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [c163]Peter Pfeiffer, Peter Fettke:
Trace vs. Time: Entropy Analysis and Event Predictability of Traceless Event Sequencing. BPM (Forum) 2024: 72-89 - [c162]Andreas Emrich, Oliver Gutermuth, Michael Frey, Peter Fettke, Peter Loos:
Towards a Model Factory Experimentation Environment for Cyber-Physical Twins. HICSS 2024: 7469-7478 - [c161]Peter Fettke, Wolfgang Reisig:
Once and for All: How to Compose Modules - The Composition Calculus. ISoLA (2) 2024: 173-190 - [c160]Peter Fettke, Hans-Georg Fill, Julius Köpke:
Preface for Workshop Modeling in the Age of Large Language Models (LLM4Modeling). Modellierung (Workshops) 2024: 2 - [c159]Peter Fettke:
Towards theoretical foundations for large process models. Modellierung (Workshops) 2024: 4 - [c158]Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring. xAI (3) 2024: 420-438 - [i22]Peter Fettke, Wolfgang Reisig:
Towards a Theoretical Foundation of Process Science. CoRR abs/2404.00065 (2024) - [i21]Alexander Rombach, Peter Fettke:
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review. CoRR abs/2408.06345 (2024) - [i20]Peter Fettke, Wolfgang Reisig:
Once and for all: how to compose modules - The composition calculus. CoRR abs/2408.15031 (2024) - [i19]Wolfgang Reisig, Peter Fettke:
Essentials of Petri nets. CoRR abs/2408.15042 (2024) - 2023
- [j55]Meike Ullrich, Constantin Houy, Tobias Stottrop, Michael Striewe, Brian Willems, Peter Fettke, Peter Loos, Andreas Oberweis:
Automated Assessment of Conceptual Models in Education A Systematic Literature Review. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 18: 2 (2023) - [j54]Hans-Georg Fill, Peter Fettke, Julius Köpke:
Conceptual Modeling and Large Language Models: Impressions From First Experiments With ChatGPT. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 18: 3 (2023) - [j53]Peter Fettke, Wolfgang Reisig:
A causal, time-independent synchronization pattern for collective adaptive systems. Int. J. Softw. Tools Technol. Transf. 25(5): 659-673 (2023) - [c157]Luka Abb, Peter Pfeiffer, Peter Fettke, Jana-Rebecca Rehse:
A Discussion on Generalization in Next-Activity Prediction. Business Process Management Workshops 2023: 18-30 - [c156]Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Explainable Artificial Intelligence Meets Uncertainty Quantification for Predictive Process Monitoring. PMAI@IJCAI 2023: 29-32 - [i18]Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring. CoRR abs/2304.05736 (2023) - [i17]Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective. CoRR abs/2304.06412 (2023) - [i16]Luka Abb, Peter Pfeiffer, Peter Fettke, Jana-Rebecca Rehse:
A Discussion on Generalization in Next-Activity Prediction. CoRR abs/2309.09618 (2023) - [i15]Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review. CoRR abs/2312.17584 (2023) - 2022
- [j52]Dominic A. Neu, Johannes Lahann, Peter Fettke:
A systematic literature review on state-of-the-art deep learning methods for process prediction. Artif. Intell. Rev. 55(2): 801-827 (2022) - [c155]Peter Pfeiffer, Heike Sander, Peter Fettke, Wolfgang Reisig:
Towards a Standard Process enabling AI-support for Safety and Conformity of Medical Devices. HEDA@Petri Nets 2022 - [c154]Peter Pfeiffer, Johannes Lahann, Peter Fettke:
The Label Ambiguity Problem in Process Prediction. Business Process Management Workshops 2022: 37-44 - [c153]Peter Fettke, Wolfgang Reisig:
Systems Mining with Heraklit: The Next Step. BPM (Forum) 2022: 89-104 - [c152]Meike Ullrich, Peter Pfeiffer, Gunther Schiefer, Chantal Soyka, Tobias Stottrop, Michael Striewe, Peter Fettke, Peter Loos, Andreas Oberweis, Niclas Schaper:
Piloteinsatz einer E-Assessment-Plattform für die grafische Modellierung. DELFI 2022: 233-234 - [c151]Meike Ullrich, Peter Pfeiffer, Gunther Schiefer, Chantal Soyka, Tobias Stottrop, Michael Striewe, Peter Fettke, Peter Loos, Andreas Oberweis, Niclas Schaper:
E-Assessment-Plattform für die grafische Modellierung. DELFI 2022: 247-248 - [c150]Sabine Klein, Andreas Emrich, Peter Fettke:
Analysis of the Tool Support for Business Model Innovation. HICSS 2022: 1-10 - [c149]Adrian Rebmann, Peter Pfeiffer, Peter Fettke, Han van der Aa:
Multi-perspective Identification of Event Groups for Event Abstraction. ICPM Workshops 2022: 31-43 - [c148]Johannes Lahann, Peter Pfeiffer, Peter Fettke:
LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. ICPM Workshops 2022: 229-241 - [c147]Peter Fettke, Wolfgang Reisig:
Breathing Life into Models: The Next Generation of Enterprise Modeling. ICSOFT 2022: 7-14 - [c146]Peter Fettke, Alexander Rombach:
Towards Automated Process Planning and Mining. PMAI@IJCAI 2022: 97-100 - [c145]Peter Fettke, Wolfgang Reisig:
Discrete Models of Continuous Behavior of Collective Adaptive Systems. ISoLA (3) 2022: 65-81 - [c144]Peter Fettke, Wolfgang Reisig:
Modellieren mit Heraklit. Modellierung 2022: 77-92 - [c143]Meike Ullrich, Peter Fettke, Peter Pfeiffer, Selina Schüler, Michael Striewe:
Workshop zur Modellierung in der Hochschullehre. Modellierung (Workshops) 2022: 174-175 - [c142]Dominik Bork, Peter Fettke, Ulrich Reimer:
Workshop "Modelle und KI". Modellierung (Workshops) 2022: 44685 - [p7]Andreas Schoknecht, Tom Thaler, Ralf Laue, Peter Fettke, Andreas Oberweis:
Process Model Similarity Techniques for Process Querying. Process Querying Methods 2022: 459-478 - [i14]Peter Fettke, Wolfgang Reisig:
Systems Mining with Heraklit: The Next Step. CoRR abs/2202.01289 (2022) - [i13]Peter Fettke, Wolfgang Reisig:
Modularization, Composition, and Hierarchization of Petri Nets with Heraklit. CoRR abs/2202.01830 (2022) - [i12]Peter Fettke, Wolfgang Reisig:
Modellieren mit Heraklit. CoRR abs/2203.09493 (2022) - [i11]Peter Fettke, Wolfgang Reisig:
Towards Axiomatic Foundations for Conceptual Modeling: An Example. CoRR abs/2203.09602 (2022) - [i10]Peter Fettke, Wolfgang Reisig:
Discrete models of continuous behavior of collective adaptive systems. CoRR abs/2205.00828 (2022) - [i9]Peter Fettke, Wolfgang Reisig:
Breathing Life into Models: The Next Generation of Enterprise Modeling. CoRR abs/2205.09591 (2022) - [i8]Peter Fettke, Alexander Rombach:
Towards Automated Process Planning and Mining. CoRR abs/2208.08943 (2022) - 2021
- [j51]Alessandro Benke, Robert Müller, Constantin Houy, Peter Fettke:
Blockchain-basierte Betriebsprüfung am Beispiel der deutschen Finanzverwaltung. HMD Prax. Wirtsch. 58(5): 1213-1229 (2021) - [j50]Michael Striewe, Martin Forell, Constantin Houy, Peter Pfeiffer, Gunther Schiefer, Selina Schüler, Chantal Soyka, Tobias Stottrop, Meike Ullrich, Peter Fettke, Peter Loos, Andreas Oberweis, Niclas Schaper:
Kompetenzorientiertes E-Assessment für die grafische, konzeptuelle Modellierung. HMD Prax. Wirtsch. 58(6): 1350-1363 (2021) - [j49]Philip Hake, Jana-Rebecca Rehse, Peter Fettke:
Toward Automated Support of Complaint Handling Processes: An Application in the Medical Technology Industry. J. Data Semant. 10(1-2): 41-56 (2021) - [c141]Peter Pfeiffer, Johannes Lahann, Peter Fettke:
Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural Networks. BPM 2021: 327-344 - [c140]Nijat Mehdiyev, Peter Fettke:
Local Post-Hoc Explanations for predictive Process Monitoring in manufacturing. ECIS 2021 - [c139]Sebastian Stephan, Johannes Lahann, Peter Fettke:
A Case Study on the Application of Process Mining in Combination with Journal Entry Tests for Financial Auditing. HICSS 2021: 1-10 - [c138]Meike Ullrich, Martin Forell, Constantin Houy, Peter Pfeiffer, Selina Schüler, Tobias Stottrop, Brian Willems, Peter Fettke, Andreas Oberweis:
Platform Architecture for the Diagram Assessment Domain. Software Engineering (Satellite Events) 2021 - [c137]Ivana Kruijff-Korbayová, Robert Grafe, Nils Heidemann, Alexander Berrang, Cai Hussung, Christian Willms, Peter Fettke, Marius Beul, Jan Quenzel, Daniel Schleich, Sven Behnke, Janis Tiemann, Johannes Güldenring, Manuel Patchou, Christian Arendt, Christian Wietfeld, Kevin Daun, Marius Schnaubelt, Oskar von Stryk, Alexander Lel, Alexander Miller, Christof Röhrig, Thomas Straßmann, Thomas Barz, Stefan Soltau, Felix Kremer, Stefan Rilling, Rohan Haseloff, Stefan Grobelny, Artur Leinweber, Gerhard Senkowski, Marc Thurow, Dominik Slomma, Hartmut Surmann:
German Rescue Robotics Center (DRZ): A Holistic Approach for Robotic Systems Assisting in Emergency Response. SSRR 2021: 138-145 - [c136]Lea Mayer, Peter Fettke:
Challenges and potentials of order-specific individual manufacturing: A case study from tool making. CBI (2) 2021: 47-56 - [c135]Nijat Mehdiyev, Constantin Houy, Oliver Gutermuth, Lea Mayer, Peter Fettke:
Explainable Artificial Intelligence (XAI) Supporting Public Administration Processes - On the Potential of XAI in Tax Audit Processes. Wirtschaftsinformatik 2021 - [e2]José González Enríquez, Søren Debois, Peter Fettke, Pierluigi Plebani, Inge van de Weerd, Ingo Weber:
Business Process Management: Blockchain and Robotic Process Automation Forum - BPM 2021 Blockchain and RPA Forum, Rome, Italy, September 6-10, 2021, Proceedings. Lecture Notes in Business Information Processing 428, Springer 2021, ISBN 978-3-030-85866-7 [contents] - [i7]Dominic A. Neu, Johannes Lahann, Peter Fettke:
A systematic literature review on state-of-the-art deep learning methods for process prediction. CoRR abs/2101.09320 (2021) - [i6]Peter Pfeiffer, Johannes Lahann, Peter Fettke:
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks. CoRR abs/2106.08027 (2021) - 2020
- [j48]Nijat Mehdiyev, Joerg Evermann, Peter Fettke:
A Novel Business Process Prediction Model Using a Deep Learning Method. Bus. Inf. Syst. Eng. 62(2): 143-157 (2020) - [j47]Peter Fettke:
Conceptual Modelling and Artificial Intelligence. EMISA Forum 40(1): 13-14 (2020) - [j46]Stephan Baier, Sebastian Dunzer, Peter Fettke, Constantin Houy, Martin Matzner, Peter Pfeiffer, Jana-Rebecca Rehse, Martin Scheid, Sebastian Stephan, Matthias Stierle, Brian Willems:
The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 5:1-5:25 (2020) - [j45]Hans-Georg Fill, Peter Fettke, Stefanie Rinderle-Ma:
Blockchain Technologies in Enterprise Modeling and Enterprise Information Systems. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 12:1-12:3 (2020) - [j44]Hans-Georg Fill, Peter Fettke, Stefanie Rinderle-Ma:
Catchword: Blockchains and Enterprise Modeling. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 16:1-16:8 (2020) - [j43]Sönke Knoch, Nico Herbig, Shreeraman Ponpathirkoottam, Felix Kosmalla, Philipp Staudt, Daniel Porta, Peter Fettke, Peter Loos:
Sensor-based Human-Process Interaction in Discrete Manufacturing. J. Data Semant. 9(1): 21-37 (2020) - [c134]Adrian Rebmann, Jana-Rebecca Rehse, Mira Pinter, Marius Schnaubelt, Kevin Daun, Peter Fettke:
IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response. BPM (Forum) 2020: 71-87 - [c133]Steffen Schumann, Jana-Rebecca Rehse, Sebastian Baumann, Peter Fettke:
Interactive Process Clustering with t-SNE. BPM (PhD/Demos) 2020: 82-86 - [c132]Nijat Mehdiyev, Peter Fettke:
Prescriptive Process Analytics with Deep Learning and Explainable Artificial Intelligence. ECIS 2020 - [c131]Peter Fettke, Wolfgang Reisig:
Modelling Service-Oriented Systems and Cloud Services with Heraklit. ESOCC Workshops 2020: 77-89 - [c130]Michael Striewe, Constantin Houy, Jana-Rebecca Rehse, Meike Ullrich, Peter Fettke, Niclas Schaper, Andreas Oberweis:
Towards an Automated Assessment of Graphical (Business Process) Modelling Competences. GI-Jahrestagung 2020: 665-670 - [c129]Johannes Lahann, Martin Scheid, Peter Fettke:
Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques. HICSS 2020: 1-10 - [c128]Filip Fatz, Philip Hake, Peter Fettke:
Blockchain-based Decentralized Validation of Tax Processes (invited paper). Modellierung (Companion) 2020: 48-50 - [c127]Adrian Rebmann, Alexander Beuther, Steffen Schumann, Peter Fettke:
Hands-on Process Discovery with Python - Utilizing Jupyter Notebook for the Digital Assistance in Higher Education. Modellierung (Companion) 2020: 65-76 - [c126]Ulrich Reimer, Dominik Bork, Peter Fettke, Marina Tropmann-Frick:
Preface of the First Workshop Models in AI. Modellierung (Companion) 2020: 128-129 - [c125]Peter Fettke:
Conceptual Modelling and Artificial Intelligence: Overview and research challenges from the perspective of predictive business process management. Modellierung (Companion) 2020: 157-164 - [c124]Alexander Berrang, Constantin Houy, Jana-Rebecca Rehse, Peter Fettke:
Prozessorientierte Schulung von Einsatzkräften für robotergestützte Rettungsmissionen der Feuerwehr. Wirtschaftsinformatik (Community Tracks) 2020: 153-167 - [c123]Cai Hussung, Jana-Rebecca Rehse, Constantin Houy, Peter Fettke:
Entwicklung eines Referenzprozessmodells für Rettungseinsätze der Feuerwehr und Anwendung als Grundlage eines Prozessassistenzsystems. Wirtschaftsinformatik (Zentrale Tracks) 2020: 522-537 - [c122]Filip Fatz, Philip Hake, Peter Fettke:
Confidentiality-preserving Validation of Tax Documents on the Blockchain. Wirtschaftsinformatik (Zentrale Tracks) 2020: 1262-1277 - [p6]Filip Fatz, Philip Hake, Peter Fettke:
Blockchain-Nutzung im Steuerbereich. Blockchain 2020: 149-170 - [e1]Judith Michael, Dominik Bork, Hans-Georg Fill, Peter Fettke, Dimitris Karagiannis, Julius Köpke, Agnes Koschmider, Heinrich C. Mayr, Jana-Rebecca Rehse, Ulrich Reimer, Michael Striewe, Marina Tropmann-Frick, Meike Ullrich:
Companion Proceedings of Modellierung 2020 Short, Workshop and Tools & Demo Papers co-located with Modellierung 2020, Vienna, Austria, February 19-21, 2020. CEUR Workshop Proceedings 2542, CEUR-WS.org 2020 [contents] - [i5]Nijat Mehdiyev, Peter Fettke:
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring. CoRR abs/2009.02098 (2020) - [i4]Nijat Mehdiyev, Peter Fettke:
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing. CoRR abs/2009.10513 (2020) - [i3]Peter Fettke, Wolfgang Reisig:
Modelling service-oriented systems and cloud services with Heraklit. CoRR abs/2009.14040 (2020)
2010 – 2019
- 2019
- [j42]Jana-Rebecca Rehse, Peter Fettke:
A Procedure Model for Situational Reference Model Mining. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 14: 3:1-3:42 (2019) - [j41]Tim Niesen, Constantin Houy, Peter Fettke:
Digitale Transformation von Prozessen in der Rechtsberatung: Anwendungsszenarien im Steuerbereich am Beispiel des ARGUMENTUM-Systems. HMD Prax. Wirtsch. 56(4): 766-779 (2019) - [j40]Jana-Rebecca Rehse, Nijat Mehdiyev, Peter Fettke:
Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory. Künstliche Intell. 33(2): 181-187 (2019) - [c121]Rocco Raso, Johannes Lahann, Peter Fettke, Peter Loos:
Walkable Graph: An Immersive Augmented Reality Interface for Performing the Memory Palace Method. AMCIS 2019 - [c120]Philip Hake, Jana-Rebecca Rehse, Peter Fettke:
Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning. Business Process Management Workshops 2019: 56-67 - [c119]Adrian Rebmann, Andreas Emrich, Peter Fettke:
Enabling the Discovery of Manual Processes Using a Multi-modal Activity Recognition Approach. Business Process Management Workshops 2019: 130-141 - [c118]Constantin Houy, Maarten Hamberg, Peter Fettke:
Robotic Process Automation in Public Administrations. FTVI/FTRI 2019: 62-74 - [c117]Christian Willms, Constantin Houy, Jana-Rebecca Rehse, Peter Fettke, Ivana Kruijff-Korbayová:
Team communication processing and process analytics for supporting robot-assisted emergency response. SSRR 2019: 216-221 - [c116]Johannes Lahann, Martin Scheid, Peter Fettke:
Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data. CBI (1) 2019: 1-10 - [c115]Filip Fatz, Philip Hake, Peter Fettke:
Towards Tax Compliance by Design: A Decentralized Validation of Tax Processes Using Blockchain Technology. CBI (1) 2019: 559-568 - [c114]Peter Fettke, Peter Loos:
Prädiktives Monitoring von Geschäftsprozessen zur Beherrschung von Risiken in weltweiten Netzen auf Basis von Process Mining und Simulation(Predictive Monitoring of Business Processes for Controlling Systemtic Risks in Global Networks). SysRisk@Wirtschaftsinformatik 2019: 23-29 - [c113]Patrick Lübbecke, Nijat Mehdiyev, Peter Fettke:
Substitution of hazardous chemical substances using Deep Learning and t-SNE. Wirtschaftsinformatik 2019: 1418-1432 - [c112]Constantin Houy, Jana-Rebecca Rehse, Martin Scheid, Peter Fettke:
Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates. Wirtschaftsinformatik 2019: 1997-2010 - [p5]Peter Fettke, Peter Loos:
"Strukturieren, Strukturieren, Strukturieren" in the Era of Robotic Process Automation. The Art of Structuring 2019: 191-201 - 2018
- [j39]Stefan Morana, Jan vom Brocke, Alexander Maedche, Stefan Seidel, Marc T. P. Adam, Udo Bub, Peter Fettke, Michael Gau, Alexander Herwix, Matthew T. Mullarkey, Hoang D. Nguyen, Jonas Sjöström, Peyman Toreini, Lauri Wessel, Robert Winter:
Tool Support for Design Science Research - Towards a Software Ecosystem: A Report from a DESRIST 2017 Workshop. Commun. Assoc. Inf. Syst. 43: 17 (2018) - [j38]Filip Fatz, Peter Fettke, Philip Hake, Robert Risse:
Potenziale von Blockchain-Anwendungen im Steuerbereich. HMD Prax. Wirtsch. 55(6): 1231-1243 (2018) - [j37]Jana-Rebecca Rehse, Sharam Dadashnia, Peter Fettke:
Business process management for Industry 4.0 - Three application cases in the DFKI-Smart-Lego-Factory. it Inf. Technol. 60(3): 133-141 (2018) - [c111]Jana-Rebecca Rehse, Peter Fettke:
Process Mining Crimes - A Threat to the Validity of Process Discovery Evaluations. BPM (Forum) 2018: 3-19 - [c110]Jana-Rebecca Rehse, Peter Fettke:
Clustering Business Process Activities for Identifying Reference Model Components. Business Process Management Workshops 2018: 5-17 - [c109]Sönke Knoch, Nico Herbig, Shreeraman Ponpathirkoottam, Felix Kosmalla, Philipp Staudt, Peter Fettke, Peter Loos:
Enhancing Process Data in Manual Assembly Workflows. Business Process Management Workshops 2018: 269-280 - [c108]Oliver Gutermuth, Sharam Dadashnia, Constantin Houy, Peter Fettke:
Process-Mining-unterstützte Ad-hoc-Produktionsplanung - Konzept und prototypische Implementierung. GI-Jahrestagung (Workshops) 2018: 225-238 - [c107]Michael Frey, Andreas Emrich, Peter Fettke, Peter Loos:
Event Entry Time Prediction in Financial Business Processes Using Machine Learning - A Use Case From Loan Applications. HICSS 2018: 1-9 - [c106]Rocco Raso, Andreas Emrich, Torsten Burghardt, Martin Schlenker, Thomas Gudehus, Oliver Sträter, Peter Fettke, Peter Loos:
Activity Monitoring Using Wearable Sensors in Manual Production Processes - An Application of CPS for Automated Ergonomic Assessments. MKWI 2018: 231-242 - [c105]Alexander Beuther, Sharam Dadashnia, Peter Fettke, Oliver Guthermuth, Constantin Houy, Peter Loos:
Entwicklung eines Referenzmodells für die wirtschaftliche Jugendhilfe. MKWI 2018: 633-644 - [c104]Andreas Emrich, Sabine Klein, Michael Frey, Peter Fettke, Peter Loos:
A Platform for Data-Driven Self-Consulting to enable Business Transformation and Technology Innovation. MKWI 2018: 1309-1315 - [c103]Patrick Lübbecke, Abhishek Goswami, Peter Fettke:
A Method for Ecological Process Optimization Based on Compliance Checking. CBI (1) 2018: 119-128 - [p4]Tom Thaler, Sabine Norek, Vittorio De Angelis, Dirk Maurer, Peter Fettke, Peter Loos:
Mining the Usability of Process-Oriented Business Software: The Case of the ARIS Designer of Software AG. Business Process Management Cases 2018: 291-310 - 2017
- [j36]Andreas Schoknecht, Tom Thaler, Peter Fettke, Andreas Oberweis, Ralf Laue:
Similarity of Business Process Models - A State-of-the-Art Analysis. ACM Comput. Surv. 50(4): 52:1-52:33 (2017) - [j35]Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Predicting process behaviour using deep learning. Decis. Support Syst. 100: 129-140 (2017) - [j34]Jana-Rebecca Rehse, Peter Fettke, Peter Loos:
A graph-theoretic method for the inductive development of reference process models. Softw. Syst. Model. 16(3): 833-873 (2017) - [c102]Nijat Mehdiyev, Andreas Emrich, Björn P. Stahmer, Peter Fettke, Peter Loos:
iPRODICT - Intelligent Process Prediction based on Big Data Analytics. BPM (Industry Track) 2017: 13-24 - [c101]