Data Mining Approach for Analyzing Call Center Performance

Details Data Mining Approach for Analyzing Call Center Performance Data Mining Approach for Analyzing Call Center Performance

2004-05-05

arxiv.org/abs/cs/0405017v1

The 17th International Conference on Industrial & Engineering Applications of Artificial Intelligence and Expert Systems, Cana

Computer Science

Artificial Intelligence

Scientific paper

The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classification and regression trees, support vector machines and finally a hybrid decision tree neural network approach) to the problem of predicting the quality of service in call centers; based on the performance data actually collected in a call center of a large insurance company. Our aim was two-fold. First, to compare the performance of models built using the above-mentioned techniques and, second, to analyze the characteristics of the input sensitivity in order to better understand the relationship between the perform-ance evaluation process and the actual performance and in this way help improve the performance of call centers. In this paper we summarize our findings.

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