• DocumentCode
    2403604
  • Title

    Business intelligence: Identify valued customer from the data warehouse in financial institutions

  • Author

    Mahesh, Anusha R. ; Sivanandam, S.N.

  • Author_Institution
    Anna Univ. of Technol., Coimbatore, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Business intelligence may be defined as a set of mathematical models and analysis methodologies that systematically exploit the available data to retrieve information and knowledge useful in supporting complex decision-making processes. A business intelligence environment offers decision makers information and knowledge derived from data processing, through the application of mathematical models and algorithms. In some instances, these may merely consist of the calculation of totals and percentages, while more fully developed analyses make use of advanced models for optimization, inductive learning and prediction.
  • Keywords
    competitive intelligence; data warehouses; decision making; financial data processing; learning (artificial intelligence); business intelligence; complex decision-making processes; data processing; data warehouse; financial institutions; inductive learning; inductive prediction; information retrieval; mathematical analysis; valued customer identification; Business; Data mining; Data warehouses; Mathematical model; Numerical models; Predictive models; Production; Business Intelligence; Data Mining; Valued customer management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705904
  • Filename
    5705904