Bugarčić, Pavle and Janković, Slađana and Mladenović, Snežana (2021) Forecasting Number of Calls to the Call Center Using Machine Learning. Transport for Today's Society.
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Official URL: https://ttsconf.org/
Abstract
Abstract – This paper presents a forecast of a number of call
arrivals in the call center per hour using supervised machine
learning. For the forecast, the WEKA machine learning software
tool was used. The results of the forecast are verified using
several methods, which shows very good results. Finally, the
results of the forecast are presented graphically using Excel
diagrams.
Keywords – Machine learning, Forecasting, WEKA
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies |
| Divisions: | Faculty of Technical Sciences |
| Depositing User: | Prof. d-r. Marija Malenkovska |
| Date Deposited: | 13 Apr 2022 21:23 |
| Last Modified: | 13 Apr 2022 21:23 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/6931 |
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