IVR导航树的KDD:案例研究

Thiago T. Angelico, Thais Santos Bueno, Silvio Bortoleto, Anderson Ravanello
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引用次数: 0

摘要

本文介绍了数据挖掘在IVR导航树中的应用。使用来自呼叫中心的数据,主要目标是发现有关电话呼叫的信息模式。使用该信息中的特定部分,它显示了对所提供服务的导航树的分析。WEKA是一个数据挖掘工具包,它提供了许多数据挖掘算法的可能性,使用了三种类型的数据挖掘算法。经过挖掘过程,可以发现新的导航信息,更好地理解数据。
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KDD on IVR Navigation Trees: Case Study
This article presents a case study about datamining applied in IVR’s navigation trees. Using data from a Call Center, the main objective is to discover patterns with information about the phone calls. Using a specific part from this information, it shows an analysis about the navigation tree of the offered service. With the WEKA, a data mining toolkit, which provides a lot of possibilities of data mining algorithms, were used three types of Data Mining Algorithms. After the mining process, new information about the navigation could be discovered and the data could be better understood.
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