• DocumentCode
    2576541
  • Title

    A probabilistic multidimensional data model and algebra for OLAP in decision support systems

  • Author

    Moole, Bhaskara Reddy

  • Author_Institution
    Wonder Technol. Corp., Herndon, VA, USA
  • fYear
    2003
  • fDate
    4-6 April 2003
  • Firstpage
    18
  • Lastpage
    30
  • Abstract
    Although there are models defined for multidimensional data, they lack a comprehensive way to handle uncertain data. Uncertainty is pervasive over the real world and any model to represent real world data that ignores uncertainty imposes unacceptable limitations on the decision support systems in which it is used. No methods were proposed so far to incorporate uncertainty into multidimensional data models. We propose a probabilistic multidimensional data model and an associated algebra to handle uncertainty.
  • Keywords
    Bayes methods; algebra; data mining; data models; data warehouses; decision support systems; probability; uncertainty handling; Bayesian method; OLAP; algebra; data warehouse; decision support system; probabilistic multidimensional data model; uncertainty handling; Aggregates; Algebra; Bayesian methods; Cities and towns; Data models; Data warehouses; Decision support systems; Marketing and sales; Multidimensional systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoutheastCon, 2003. Proceedings. IEEE
  • Print_ISBN
    0-7803-7856-3
  • Type

    conf

  • DOI
    10.1109/SECON.2003.1268426
  • Filename
    1268426