Open AccessForecasting Number of Calls to the Call Center Using Machine Learning
Author(s) -
Pavle Bugarčić,
Slađana Janković,
Snežana Mladenović
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.20544/tts2021.1.1.21.p44
Subject(s) - computer science , machine learning , artificial intelligence , center (category theory) , software , operating system , crystallography , chemistry
– 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