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cs.LG2020
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models
Farbod Taymouri, Marcello La Rosa
This paper proposes an encoder-decoder architecture grounded on Generative Adversarial Networks (GANs), that generates a sequence of activities and their timestamps in an end-to-en…
cs.LG2020
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
Farbod Taymouri, Marcello La Rosa, Sarah Erfani +2
Predictive process monitoring aims to predict future characteristics of an ongoing process case, such as case outcome or remaining timestamp. Recently, several predictive process m…