DocumentCode :
1638044
Title :
KDD on IVR Navigation Trees: Case Study
Author :
Angelico, T.T. ; Bueno, Thais Santos ; Bortoleto, Silvio ; Ravanello, Anderson
Author_Institution :
Bus. Intell. Specialization, Positivo Univ.
Volume :
3
fYear :
2008
Firstpage :
510
Lastpage :
512
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 :
data mining; trees (mathematics); IVR navigation trees; data mining; interactive voice response; knowledge data discovery; Computer applications; Consumer behavior; Costs; Data mining; Data processing; Delta modulation; Information analysis; Intelligent systems; Navigation; Speech analysis; application algorithm; kdd; ura;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
Type :
conf
DOI :
10.1109/ISDA.2008.354
Filename :
4696518
Link To Document :
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