DocumentCode :
3414694
Title :
KDD on IVR Navigation Trees: Case Study
Author :
Angélico, Thiago T. ; Bueno, Thais Santos ; Bortoletto, Silvio ; Ravanello, Anderson
Volume :
3
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
457
Lastpage :
459
Abstract :
This article presents a case study about data mining 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.
Keywords :
call centres; data mining; information analysis; trees (mathematics); IVR navigation trees; KDD; WEKA; Waikato Environment For Knowledge Analysis; call center; data mining; interactive voice response; knowledge data discovery; Hybrid intelligent systems; Navigation; Call Center; Data Mining; IVR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.305
Filename :
5254617
Link To Document :
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