• 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