使用机器学习预测呼叫中心的呼叫数量

Third International Conference “Transport for Today’s Society “ Pub Date : 2021-12-01 DOI:10.20544/tts2021.1.1.21.p44

Pavle D. Bugarčić, S. Janković, Snezana Mladenovic

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引用次数: 0

摘要

摘要:本文提出了一种利用监督式机器学习预测呼叫中心每小时呼叫到达数的方法。预测使用了WEKA机器学习软件工具。用几种方法对预测结果进行了验证，取得了很好的效果。最后，利用Excel图表对预测结果进行了图形化展示。关键词:机器学习，预测，WEKA

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Forecasting Number of Calls to the Call Center Using Machine Learning

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

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Third International Conference “Transport for Today’s Society “

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