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
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