no code implementations • 15 Dec 2023 • Wenjun Zhou, Artem Polyvyanyy, James Bailey
Process mining, a data-driven approach for analyzing, visualizing, and improving business processes using event logs, has emerged as a powerful technique in the field of business process management.
no code implementations • 9 Dec 2023 • Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat
We propose a new approach for discovering sound Directly-Follows Graphs that is grounded in grammatical inference over the input traces.
no code implementations • 15 Sep 2023 • Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardina, Ying Tan, Nick van Beest
A transhumeral prosthesis restores missing anatomical segments below the shoulder, including the hand.
no code implementations • 2 Sep 2023 • Timotheus Kampik, Christian Warmuth, Adrian Rebmann, Ron Agam, Lukas N. P. Egger, Andreas Gerber, Johannes Hoffart, Jonas Kolk, Philipp Herzig, Gero Decker, Han van der Aa, Artem Polyvyanyy, Stefanie Rinderle-Ma, Ingo Weber, Matthias Weidlich
The continued success of Large Language Models (LLMs) and other generative artificial intelligence approaches highlights the advantages that large information corpora can have over rigidly defined symbolic models, but also serves as a proof-point of the challenges that purely statistics-based approaches have in terms of safety and trustworthiness.
1 code implementation • 7 Mar 2023 • Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa
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.
1 code implementation • 8 Jul 2021 • Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos
Generalization is also perhaps the least understood of those criteria, with that lack primarily a consequence of it measuring properties over the entire future behavior of the system when the only available sample of behavior is that provided by the log.
no code implementations • 26 Jun 2021 • Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa
State-of-the-art process discovery methods construct free-choice process models from event logs.
1 code implementation • 15 May 2021 • Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
The paper proposes a prescriptive process monitoring method that uses orthogonal random forest models to estimate the causal effect of triggering a time-reducing intervention for each ongoing case of a process.
1 code implementation • 3 May 2021 • Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
To this end, we develop a technique to forecast the entire process model from historical event data.
1 code implementation • 23 Dec 2020 • Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen, Matthieu Brinkhuis, Hajo A. Reijers
Intuitively, the better the quality of the event data, the better the quality of the model that is discovered.
1 code implementation • 3 Sep 2020 • Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
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 outcome.
no code implementations • 21 Aug 2020 • Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich
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 information theory.
no code implementations • 18 Jul 2020 • 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 explanation of the traces.
no code implementations • 3 Jan 2020 • Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
In this setting, this paper addresses the problem of analyzing User Interaction (UI) logs in order to discover routines where a user transfers data from one spreadsheet or (Web) form to another.
1 code implementation • 15 Jul 2019 • Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy
The technique starts by clustering declarative process constraints discovered from recorded logs of executed business processes based on their similarity and then applies change point detection on the identified clusters to detect drifts.