• DocumentCode
    3579357
  • Title

    Business intelligence: An artificial bee colony optimization approach

  • Author

    Anusha, R. ; Nallaperumal, Krishnan

  • Author_Institution
    Center for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Data mining is a knowledge discovery process which deals with the broad process of finding knowledge in data analyzing large storage of data in order to identify the relevant data. It is a powerful tool to uncover relationships within the data. Business intelligence (BI), is a distinctive term that refers to a lot of software applications, it is normally used to investigate a company´s raw data for automatic decision making. The main concept of BI is a fact-based decision making and the result must be unique truth. The important function of BI systems is to afford decision makers with tools and techniques that permit them to create efficient and suitable decisions. Nature inspired algorithms have their process observed in nature as their origin. The best feature of Artificial honey bee algorithm, which is a nature inspired swarm algorithm based on the behaviour of natural bee colonies. It is a parallel search over the problem data and previously obtained results from it.
  • Keywords
    Algorithm design and analysis; Data mining; Databases; Decision making; Genetic algorithms; Optimization; Artificial honey bee algorithm; Business intelligence; Nature inspired algorithms; i decision making; knowledge discovery process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238561
  • Filename
    7238561