default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID5th ICPM 2023: Rome, Italy - Doctoral Consortium / Demo Track
- Jan Martijn E. M. van der Werf, Cristina Cabanillas, Francesco Leotta, Laura Genga:
Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Rome, Italy, October 27, 2023. CEUR Workshop Proceedings 3648, CEUR-WS.org 2024
Doctoral Consortium
- Patrizia Schalk:
Perfect Process Models?! A Process-Discovery Technique Optimizing over Quality Measures. - Shameer Kumar Pradhan:
User-Friendly Data Extraction and Event Log Building for Process Mining. - Emmelien De Roock:
Bringing healthcare professionals to the forefront in process mining: novel methods to identify information needs and visualize outcomes. - Michael Grohs:
Leveraging the Full Potential of Conformance Checking in Practice. - Giulia Ruffini:
Object-Centric process mining for process analysis and operational support. - Benedikt Knopp:
Towards Organizational Digital Twins: Automated Process Enhancement by Object-Centric Simulation. - Tom Hohenadl:
Noise and Outlier Detection in Task Mining. - Simin Maleki Shamasbi:
Unlocking Success in Process Mining Adoption: A Comprehensive Exploration of Human Resources and Team Configurations. - Christian Dormagen:
Towards semantic-driven declarative and interactive Process Mining. - Zineddine Bettouche:
Transforming Process Mining: A Transformer-Based Approach to Semantic Clustering in Event Log Analysis. - Lisa Zimmermann:
Enhancing Support for Individual Analysts in Process Mining. - María Salas-Urbano:
Enhancing Event Log Manipulation and Insight Discovery through Querying Process Representations with DFGs. - Carlos Capitán Agudo:
Interest-Driven Recommendations To Support Time Performance Analyses.
Demo Track
- Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu:
Kairos: A Tool for Prescriptive Monitoring of Business Processes. - Nina Kinkelin, Clemens Schreiber, Josua Reimold:
Combining Process Mining and Simulation to Guide Users Towards Process Improvement in mpmX. - Ivan Donadello, Fabrizio Maria Maggi, Francesco Riva, Manpreet Singh:
ASP-Based Log Generation with Purposes in Declare4Py. - Ivan Esin, Dmitri Beloshitskiy, Gert Janssenswillen:
processpredictR: predictive process monitoring using bupaR. - Eric Verbeek:
Excavating event logs with DiSCover. - Jonas Cremerius, Mathias Weske:
Orion: Discovering and Exploring Change Patterns in Dynamic Event Attributes. - Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini:
RIMS_tool: a Hybrid Simulator for Business Processes. - Tedi Ibershimi
, Diellsimeone Xhemalaj, Anti Alman, Ivan Donadello, Fabrizio Maria Maggi:
Two Solutions for Checking LTLf Properties in Event Logs. - Florian Lang, Din Hida, Yingjie Bian, Adrian Rebmann, Han van der Aa:
M-viz: A Tool for the Step-by-step Visualization of the Inductive Miner. - Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl:
FEEED: Feature Extraction from Event Data. - Marwa Elleuch, Christophe Maillard, Olivier Graille, Sonia Laurent, Oumaima Alaoui Ismaili, Philippe Legay:
Activity Discovery Tool From Unstructured Data To Enhance Process Mining. - István Koren, Jan Niklas Adams, Alessandro Berti, Wil M. P. van der Aalst:
OCEL 2.0 Resources - www.ocel-standard.org. - Manal Laghmouch, Benoît Depaire, Nicola Gigante, Mieke Jans, Marco Montali:
Declare MoGeS: Model Generator and Specializer. - Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Kronos: Discovery and Analysis of Waiting Time Causes. - Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco M. Dijkman:
IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool. - Carolin Ullrich, Teodora Lata:
Business Miner: Process Mining Insights for Business Users. - Sabine Nagel, Eric Amann, Patrick Delfmann:
declare-js: A Web-Based Viewer and Editor for Declarative Process Models. - Dominique Sommers, Durairaja V. Varadarajan, Natalia Sidorova:
Trident: Generating Noisy Synthetic Processes with Ground Truth. - Eric Verbeek, Dirk Fahland:
Generating event logs with CPN IDE. - Ava Swevels, Eva L. Klijn, Dirk Fahland:
Object-Centric Process Mining (and more) using a Graph-Based Approach with PromG.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-04 20:51 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
