Forecasting Number of Calls to the Call Center Using Machine Learning

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: http://eprints.uklo.edu.mk/id/eprint/6931

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