Intelligent Call Triage System with Algorithm Combining Decision-Tree and SVM
In this paper, we propose a new online learning algorithm that constructs a subspace with a decision tree for a call triage support system. A call triage is an operation to determine the level of first-aid service quality on the basis of the severity and urgency of a victim. The call triage support system used in Yokohama is operated smoothly. However, further improvement in the accuracy detection is an issue because of the high percentage of misclassifications. This issue has been discussed in our prior implementation of a Bayesian network call triage support system. However, results indicate that the accuracy is decreased by over-training on the unlearned data. In this paper, we propose an algorithm to build a subspace with a decision tree for learning an increasing number of call triage records online. The evaluation experiment uses the past call triage records. Its results show that the proposed method can judge a call triage efficiently.
KeywordsCall Triage Decision tree Support vector machine
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