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- W2570761522 abstract "The queueing theory has been a challenging and interesting topic in recent years and has been applied to a variety of application scenarios. In this paper, a delay predictor based on queueing models combined with survival analysis is developed for customers waiting outside the restaurant. In addition to classic queueing models such as LES (Last Customer Enter Service) and HOL (Head of Line), as the circumstances inside the restaurant has an impact on the waiting line outside, this work uses Cox model in survival analysis to estimate the service time further more delay time as SOS (Status of Service) model and cascade the queueing models with regression model GBRT (Gradient Boosting Regression Tree). Experimental results show that the predictor works well and this design has been used in reality." @default.
- W2570761522 created "2017-01-13" @default.
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- W2570761522 date "2016-11-01" @default.
- W2570761522 modified "2023-09-24" @default.
- W2570761522 title "Delay prediction with enhanced queueing models and survival analysis" @default.
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- W2570761522 doi "https://doi.org/10.1109/icsai.2016.7811115" @default.
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