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pro vyhledávání: '"Di Federico, Gemma"'
A process mining-based error correction approach to improve data quality of an IoT-sourced event log
Autor:
Shirali, Mohsen, Ahmadi, Zahra, Fernández-Llatas, Carlos, Bayo-Monton, Jose-Luis, Di Federico, Gemma
Internet of Things (IoT) systems are vulnerable to data collection errors and these errors can significantly degrade the quality of collected data, impact data analysis and lead to inaccurate or distorted results. This article emphasizes the importan
Externí odkaz:
http://arxiv.org/abs/2404.13091
Attack Trees are a graphical model of security used to study threat scenarios. While visually appealing and supported by solid theories and effective tools, one of their main drawbacks remains the amount of effort required by security experts to desi
Externí odkaz:
http://arxiv.org/abs/2402.12040
Autor:
Beerepoot, Iris, Di Ciccio, Claudio, Reijers, Hajo A., Rinderle-Ma, Stefanie, Bandara, Wasana, Burattin, Andrea, Calvanese, Diego, Chen, Tianwa, Cohen, Izack, Depaire, Benoît, Di Federico, Gemma, Dumas, Marlon, van Dun, Christopher, Fehrer, Tobias, Fischer, Dominik A., Gal, Avigdor, Indulska, Marta, Isahagian, Vatche, Klinkmüller, Christopher, Kratsch, Wolfgang, Leopold, Henrik, Van Looy, Amy, Lopez, Hugo, Lukumbuzya, Sanja, Mendling, Jan, Meyers, Lara, Moder, Linda, Montali, Marco, Muthusamy, Vinod, Reichert, Manfred, Rizk, Yara, Rosemann, Michael, Röglinger, Maximilian, Sadiq, Shazia, Seiger, Ronny, Slaats, Tijs, Simkus, Mantas, Someh, Ida Asadi, Weber, Barbara, Weber, Ingo, Weske, Mathias, Zerbato, Francesca
Publikováno v:
In Computers in Industry April 2023 146
Autor:
Di Federico, Gemma1 (AUTHOR) gdfe@dtu.dk, Burattin, Andrea1 (AUTHOR)
Publikováno v:
Future Internet. Mar2023, Vol. 15 Issue 3, p113. 22p.
Autor:
Di Federico, Gemma, Burattin, Andrea
Publikováno v:
Di Federico, G & Burattin, A 2023, Do You Behave Always the Same? A Process Mining Approach . in Proceedings of Process Mining Workshop : ICPM 2022 International Workshops . vol. 468, Springer, pp. 5-17, 4th International Conference on Process Mining, Bolzano, Italy, 23/10/2022 . https://doi.org/10.1007/978-3-031-27815-0_1
Human behavior could be represented in the form of a process. Existing process modeling notations, however, are not able to faithfully represent these very flexible and unstructured processes. Additionalnon-process aware perspectives should be consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::58fe1994877ab2f6fbc5619121aab2dd
https://orbit.dtu.dk/en/publications/9a785294-00aa-4d2f-b823-bfdde4ef8a07
https://orbit.dtu.dk/en/publications/9a785294-00aa-4d2f-b823-bfdde4ef8a07
Autor:
Di Federico, Gemma, Burattin, Andrea
Publikováno v:
Di Federico, G & Burattin, A 2023, vAMoS: eVent Abstraction via Motifs Search . in Business Process Management Workshops . Springer, Lecture Notes in Business Information Processing, vol. 460, pp. 101–112, 20th International Conference of Business Process Management, Münster, North Rhine-Westphalia, Germany, 11/09/2022 . https://doi.org/10.1007/978-3-031-25383-6_9
Process mining analyzes events that are logged during the execution of a business process. The level of abstraction at which a process model is recorded is reflected in the level of granularity of the data in the event log. When process activities ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::fe0a504ac8b6b1fda67045addb1cf493
https://orbit.dtu.dk/en/publications/34c4d218-b79c-4564-bbec-dd0dde187ea9
https://orbit.dtu.dk/en/publications/34c4d218-b79c-4564-bbec-dd0dde187ea9
Publikováno v:
Di Federico, G, Nikolajsen, E R, Azam, M & Burattin, A 2022, Linac : A Smart Environment Simulator of Human Activities . in J Munoz-Gama & X Lu (eds), Proceedings of 3 rd International Conference on Process Mining . Springer, Lecture Notes in Business Information Processing, vol. 433, pp. 60-72, 3 rd International Conference on Process Mining, Eindhoven, Netherlands, 31/10/2021 . https://doi.org/10.1007/978-3-030-98581-3_5
The identification and construction of datasets of human activities is an extremely time-consuming and resource intensive task, yet researchers cannot refrain from such datasets. The publicly available datasets may not reflect all the researchers’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::ae11c4bc01c1041acefad156ababafba
https://orbit.dtu.dk/en/publications/083e654a-de57-4192-8696-accff8589300
https://orbit.dtu.dk/en/publications/083e654a-de57-4192-8696-accff8589300