65 citations · 169 across the 18 of their papers we have counts for
19 papers
On the Reconstructability and Rediscoverability of Typed Jackson Nets (Extended Version)
Daniël Barenholz, Marco Montali, Artem Polyvyanyy +3
A process discovery algorithm aims to construct a model from data generated by historical system executions such that the model describes the system well. Consequently, one desired…
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa +3
Increasing the success rate of a process, i.e. the percentage of cases that end in a positive outcome, is a recurrent process improvement goal. At runtime, there are often certain…
Correctness Notions for Petri Nets with Identifiers
Jan Martijn E. M. van der Werf, Andrey Rivkin, Marco Montali +1
A model of an information system describes its processes and how resources are involved in these processes to manipulate data objects. This paper presents an extension to the Petri…
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data
Andrei Tour, Artem Polyvyanyy, Anna Kalenkova +1
Process discovery studies ways to use event data generated by business processes and recorded by IT systems to construct models that describe the processes. Existing discovery algo…
Bootstrapping Generalization of Process Models Discovered From Event Data
Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos
Process mining extracts value from the traces recorded in the event logs of IT-systems, with process discovery the task of inferring a process model for a log emitted by some unkno…
Discovering executable routine specifications from user interaction logs
Volodymyr Leno, Adriano Augusto, Marlon Dumas +3
Robotic Process Automation (RPA) is a technology to automate routine work such as copying data across applications or filling in document templates using data from multiple applica…
Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
Anna Kalenkova, Josep Carmona, Artem Polyvyanyy +1
State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed models do not take into account indirect dependencies…
Process Model Forecasting Using Time Series Analysis of Event Sequence Data
Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy +2
Process analytics is an umbrella of data-driven techniques which includes making predictions for individual process instances or overall process models. At the instance level, vari…
All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees
Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen +2
The aim of a process discovery algorithm is to construct from event data a process model that describes the underlying, real-world process well. Intuitively, the better the quality…
Visual Drift Detection for Sequence Data Analysis of Business Processes
Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling +1
Event sequence data is increasingly available in various application domains, such as business process management, software engineering, or medical pathways. Processes in these dom…
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…
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas +2
This paper proposes an approach to analyze an event log of a business process in order to generate case-level recommendations of treatments that maximize the probability of a given…
Identifying candidate routines for Robotic Process Automation from unsegmented UI logs
V. Leno, A. Augusto, M. Dumas +3
Robotic Process Automation (RPA) is a technology to develop software bots that automate repetitive sequences of interactions between users and software applications (a.k.a. routine…
An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining
Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos
Given an event log as a collection of recorded real-world process traces, process mining aims to automatically construct a process model that is both simple and provides a useful e…
Automated Discovery of Data Transformations for Robotic Process Automation
Volodymyr Leno, Marlon Dumas, Marcello La Rosa +2
Robotic Process Automation (RPA) is a technology for automating repetitive routines consisting of sequences of user interactions with one or more applications. In order to fully ex…
Process Query Language: Design, Implementation, and Evaluation
Artem Polyvyanyy, Arthur H. M. ter Hofstede, Marcello La Rosa +2
Organizations can benefit from the use of practices, techniques, and tools from the area of business process management. Through the focus on processes, they create process models…
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…
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…
Maximal Structuring of Acyclic Process Models
Artem Polyvyanyy, Luciano García-Bañuelos, Dirk Fahland +1
This paper contributes to the solution of the problem of transforming a process model with an arbitrary topology into an equivalent structured process model. In particular, this pa…