Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Kalenkova, A."'
This paper studies how the Elo rating system behaves when the underlying modelling assumptions are not met.
Comment: 29 pages
Comment: 29 pages
Externí odkaz:
http://arxiv.org/abs/2412.14427
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 algorithms are predominantly concerned with constructing process models th
Externí odkaz:
http://arxiv.org/abs/2212.01454
Process mining is a well-established discipline of data analysis focused on the discovery of process models from information systems' event logs. Recently, an emerging subarea of process mining - stochastic process discovery has started to evolve. St
Externí odkaz:
http://arxiv.org/abs/2206.14415
Publikováno v:
Fundamenta Informaticae, Volume 183, Issues 3-4: Petri Nets 2020 (December 23, 2021) fi:7634
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 between events. Whenever the input behaviour is not free-choice, thes
Externí odkaz:
http://arxiv.org/abs/2106.15398
Autor:
Polyvyanyy, Artem, Alkhammash, Hanan, Di Ciccio, Claudio, García-Bañuelos, Luciano, Kalenkova, Anna, Leemans, Sander J. J., Mendling, Jan, Moffat, Alistair, Weidlich, Matthias
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. The measures allow quantifying classical non-deterministi
Externí odkaz:
http://arxiv.org/abs/2008.09558
Publikováno v:
IEEE Access, Vol 9, Pp 99480-99494 (2021)
In the Agent-Based Modeling (ABM) paradigm, an organization is a Multi-Agent System (MAS) composed of autonomous agents inducing business processes. Process Mining automates the creation, update, and analysis of explicit business process models based
Externí odkaz:
https://doaj.org/article/71b7c978bf5a471cbb79f7ba175b18ed
Autor:
Kalenkova, Anna, Burattin, Andrea, de Leoni, Massimiliano, van der Aalst, Wil, Sperduti, Alessandro
Publikováno v:
Business Process Management Journal, 2018, Vol. 25, Issue 5, pp. 995-1019.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BPMJ-02-2018-0051
Autor:
Anna A. Kalenkova, Danil A. Kolesnikov
Publikováno v:
Моделирование и анализ информационных систем, Vol 25, Iss 6, Pp 711-725 (2018)
Finding graph-edit distance (graph similarity) is an important task in many computer science areas, such as image analysis, machine learning, chemicalinformatics. Recently, with the development of process mining techniques, it became important to ada
Externí odkaz:
https://doaj.org/article/24428ee6740348958195e37c7ca25ffe
Autor:
Sergey Ivanov, Anna Kalenkova
Publikováno v:
Труды Института системного программирования РАН, Vol 27, Iss 3, Pp 255-266 (2018)
Comparing business process models is one of the most significant challenges for business and systems analysts. The complexity of the problem is explained by the fact there is a lack of tools that can be used for comparing business process models. Als
Externí odkaz:
https://doaj.org/article/6dcc1ed103184af7920e0e0ddd870065