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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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Niyi Ogunbiyi, Artie Basukoski and Thierry Chaussalet
Predictive process monitoring aims to accurately predict a variable of interest (e.g., remaining time) or the future state of the process instance (e.g., outcome or next step). The quest for models with higher predictive power has led to the development ...
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Hyun Ahn, Dinh-Lam Pham and Kwanghoon Pio Kim
Work transference network is a type of enterprise social network centered on the interactions among performers participating in the workflow processes. It is thought that the work transference networks hidden in workflow enactment histories are able to d...
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Yutika Amelia Effendi,Nania Nuzulita
Pág. 183 - 194
Background: Nowadays, enterprise computing manages business processes which has grown up rapidly. This situation triggers the production of a massive event log. One type of event log is double timestamp event log. The double timestamp has a start time an...
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Christian Sturm, Myriel Fichtner and Stefan Schönig
Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement. The area of process discovery covers th...
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Saja Aldera
Pág. 2731 - 2739
Governments around the world are adapting the e-government initiative to provide new ways of delivering their services. The e-government initiative aims to increase government performance efficiency; however, there are a number of limitations facing the ...
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