• DocumentCode
    1955708
  • Title

    Kanthaka: Big Data Caller Detail Record (CDR) Analyzer for Near Real Time Telecom Promotions

  • Author

    Jayawardhana, P. ; Kumara, A. ; Perera, Davina ; Paranawithana, A.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2013
  • fDate
    29-31 Jan. 2013
  • Firstpage
    534
  • Lastpage
    538
  • Abstract
    With the competitiveness that is growing in the telecom industry, the operators seek for ways to attract and keep the subscribers in their network. Giving away attractive promotions to their subscribers is a powerful and commonly used approach in that context. With the technical limitations and the scales of the rising subscriber base, these promotions have been limited to a very narrow pattern. In order to gain a competitive advantage, the operators need new technologies and methodologies to support more attractive newer patterns of promotions, despite the challenges involved in complex analyzing procedures. In this research study, we have come up with a system to select eligible users for a particular predefined promotion, analyzing the Caller Detail Records, while being scalable for a rapidly escalating subscriber base.
  • Keywords
    SQL; telecommunication computing; telecommunication industry; CDR analyzer; Kanthaka; caller detail record analyzer; complex analyzing procedures; near real time telecom promotions; operators; subscribers; telecom industry; Big data; Data models; Databases; Educational institutions; Engines; Real-time systems; Telecommunications; BigData; CDR; NoSQL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on
  • Conference_Location
    Bangkok
  • ISSN
    2166-0662
  • Print_ISBN
    978-1-4673-5653-4
  • Type

    conf

  • DOI
    10.1109/ISMS.2013.40
  • Filename
    6498328