KDD on IVR Navigation Trees: Case Study

摘要：

This article presents a case study about data mining applied in IVRs 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.

作者: Thiago T. Angéico Thais Santos Bueno Silvio Bortoletto Anderson Ravanello

作者单位: Especializa(c)(a)o em Business Intelligence - Universidade Positivo

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-3

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）