• DocumentCode
    3151540
  • Title

    A methodology of export sectors identification through data mining

  • Author

    Raza, Haider ; Manarvi, Irfan ; Ahmed, Jamil ; Khan, Kashif ; ur Rehman, K.

  • Author_Institution
    Dept. of Manage. Sci., Iqra Univ., Islamabad, Pakistan
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    1496
  • Lastpage
    1499
  • Abstract
    State Bank of Pakistan is regularly collecting data for exports for service and industrial sectors such as food, textile and other manufacturing commodities. The data may be used by individuals and organizations to arrive at a suitable sector by reducing uncertainty and ensuring best possible returns. Performance of these sectors gets influenced by a number of parameters that may put investors in a difficult decision making for selection. This research was focused on mining of export data from financial institutions databases such as State Bank of Pakistan Data over a period of time. A total of four years data was considered sufficient for analysis in three sectors. Analysis was carried out using statistical tools. The information may be used by potential investors for investment in Pakistani exports. This case study also provides a methodology of using data mining and decision analysis for export portfolio selection for investments.
  • Keywords
    banking; data mining; decision making; international trade; investment; production engineering computing; statistical analysis; State Bank of Pakistan; data mining; decision analysis; decision making; export portfolio selection; export sectors identification; financial institutions databases; statistical tools; Data mining; Databases; Decision making; Food industry; Food manufacturing; Investments; Manufacturing industries; Portfolios; Textile industry; Uncertainty; Data mining; Textile exports; investment in exports; portfolio selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    978-1-4244-4135-8
  • Electronic_ISBN
    978-1-4244-4136-5
  • Type

    conf

  • DOI
    10.1109/ICCIE.2009.5223645
  • Filename
    5223645