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Predicting multiple domain queue waiting time via machine learning

Loureiro, Carolina; Pereira, Pedro José; Cortez, Paulo; Guimarães, Pedro; Moreira, Carlos; Pinho, André

This paper describes an implementation of the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology for a demonstrative case of human queue waiting time prediction. We collaborated with a multiple domain (e.g., bank, pharmacies) ticket management service software development company, aiming to study a Machine Learning (ML) approach to estimate queue waiting time. A large multiple domain databas...


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