Výsledky vyhledávání - "Dijkman, Remco M."

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ProcessTransformer: Predictive Business Process Monitoring with Transformer Network

Autor: Bukhsh, Zaharah A., Saeed, Aaqib, Dijkman, Remco M.

Predictive business process monitoring focuses on predicting future characteristics of a running process using event logs. The foresight into process execution promises great potentials for efficient operations, better resource management, and effect

Externí odkaz: http://arxiv.org/abs/2104.00721

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Predicting Stochastic Travel Times based on High-Volume Floating Car Data

Autor: Goncalves, Rodrigo, de Almeida, Rui J., Dijkman, Remco M.

Transportation planning depends on predictions of the travel times between loading and unloading locations. While accurate techniques exist for making deterministic predictions of travel times based on real-world data, making stochastic predictions r

Externí odkaz: http://arxiv.org/abs/1808.06610

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Native Directly Follows Operator

Autor: Syamsiyah, Alifah, van Dongen, Boudewijn F., Dijkman, Remco M.

Typical legacy information systems store data in relational databases. Process mining is a research discipline that analyzes this data to obtain insights into processes. Many different process mining techniques can be applied to data. In current tech

Externí odkaz: http://arxiv.org/abs/1806.01657

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Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction

Autor: Vazifehdoostirani, Mozhgan, Genga, Laura, Dijkman, Remco M., Burattin, Andrea, Polyvyanyy, Artem, Weber, Barbara

Publikováno v: Proceedings-2022 4th International Conference on Process Mining, ICPM 2022, 48-55
STARTPAGE=48;ENDPAGE=55;TITLE=Proceedings-2022 4th International Conference on Process Mining, ICPM 2022

Outcome-oriented predictive process monitoring aims at classifying a running process execution according to a given set of categorical outcomes, leveraging data on past process executions. Most previous studies employ Recurrent Neural Networks to enc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::470d6c63330cf96a1e821ae69284d8f7
https://doi.org/10.1109/icpm57379.2022.9980737

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Akademický článek

APROMORE: An advanced process model repository

Autor: La Rosa, Marcello, Reijers, Hajo A., van der Aalst, Wil M.P., Dijkman, Remco M., Mendling, Jan, Dumas, Marlon, García-Bañuelos, Luciano

Publikováno v: In Expert Systems With Applications June 2011 38(6):7029-7040

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Resource Optimization in Business Processes

Autor: Peters, Sander P.F., Dijkman, Remco M., Grefen, Paul W.P.J.

Publikováno v: Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference, EDOC 2021, 104-113
STARTPAGE=104;ENDPAGE=113;TITLE=Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference, EDOC 2021

Traditionally, the optimal resource allocation in a business process is determined by manually exploring a number of options, but whether this leads to the optimal solution is questionable; it is possible that an unexplored option produces even bette

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b39e6df1b2f84e36c57134c0d2ef16db
https://doi.org/10.1109/edoc52215.2021.00021

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Tackling Uncertainty in Online Multimodal Transportation Planning Using Deep Reinforcement Learning

Autor: Farahani, Amirreza, Genga, Laura, Dijkman, Remco M., Mes, Martijn, Lalla-Ruiz, Eduardo, Voß, Stefan

Publikováno v: Computational Logistics-12th International Conference, ICCL 2021, Proceedings: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings, 578-593
STARTPAGE=578;ENDPAGE=593;TITLE=Computational Logistics-12th International Conference, ICCL 2021, Proceedings
Lecture Notes in Computer Science ISBN: 9783030876715
ICCL

In this paper we tackle the container allocation problem in multimodal transportation planning under uncertainty in container arrival times, using Deep Reinforcement Learning. The proposed approach can take real-time decisions on allocating individua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6bb7ace2a34022b841adaf89c63acd1
https://research.tue.nl/nl/publications/5d06cbd6-e54b-4b63-be54-6618c55ef9aa

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