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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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Xiaowu Huang, Jian Guo, Yusong Miao, Xianqi Xie, Yujin Li, Hailiang Wang and Feifei Huang
The surrounding rock during a coal mine excavation is prone to significant engineering disasters such as considerable deformation and rock bursts. Pressure release can improve the stress field of a deep rock mass and prevent the occurrence of dangers suc...
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Khandakar M. Rashid and Joseph Louis
Construction companies are increasingly utilizing sensing technologies to automatically record different steps of the construction process in detail for effective monitoring and control. This generates a significant amount of event data that can be used ...
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Najah Mary El-Gharib and Daniel Amyot
Process mining (PM) exploits event logs to obtain meaningful information about the processes that produced them. As the number of applications developed on cloud infrastructures is increasing, it becomes important to study and discover their underlying p...
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Adelya Khasanova
Pág. 70 - 77
The purpose of this work is to study and implement algorithms for intelligent process analysis in order to optimize the operation of the OS, as well as to identify abnormal and malicious events using the example of event logs of various operating systems...
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