Stop the war!Остановите войну!
for scientists:
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 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.
a service of 
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 2024-05-14 21:23 CEST 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:
