1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ViennaAT14 papers
- Sapienza University of RomeIT12 papers
- Complexity Science HubAT11 papers
- University of SalzburgAT9 papers
- Johannes Kepler University of LinzAT8 papers
- Humboldt-Universität zu BerlinDE7 papers
- The University of MelbourneAU7 papers
- TU WienAT7 papers
- ETH ZurichCH6 papers
- Queensland University of TechnologyAU5 papers
- University College DublinIE5 papers
- University of AmsterdamNL5 papers
9 papers · 1 filter
Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study
Martin Bicher, Claire Rippinger, Christoph Urach +3
Continued model-based decision support is associated with particular challenges, especially in long-term projects. Due to the regularly changing questions and the often changing un…
Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach
Alessio Cecconi, Luca Barbaro, Claudio Di Ciccio +1
Declarative process specifications define the behavior of processes by means of rules based on Linear Temporal Logic on Finite Traces (LTLf). In a mining context, these specificati…
Intelligent Software Web Agents: A Gap Analysis
Sabrina Kirrane
Semantic web technologies have shown their effectiveness, especially when it comes to knowledge representation, reasoning, and data integration. However, the original semantic web…
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
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…
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
Sven Weinzierl, Sandra Zilker, Jens Brunk +3
Predictive business process monitoring (PBPM) is a class of techniques designed to predict behaviour, such as next activities, in running traces. PBPM techniques aim to improve pro…
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
Jens Brunk, Matthias Stierle, Leon Papke +3
Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned wi…
Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez +15
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that requ…
Comprehensive Process Drift Detection with Visual Analytics
Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling +1
Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has…