• DocumentCode
    832848
  • Title

    Agents and stream data mining: a new perspective

  • Author

    Ong, Kok-Leong ; Zhang, Zili ; Ng, Wee-Keong ; Lim, Ee-Peng

  • Author_Institution
    Deakin Univ., Geelong, Vic., Australia
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    Many organizations struggle with the massive amount of data they collect. Today, data does more than serve as the ingredients for churning out statistical reports. They help support efficient operations in many organizations, and to some extent, data provide the competitive intelligence organizations need to survive in today´s economy. Data mining can´t always deliver timely and relevant results because data are constantly changing. However, stream-data processing might be more effective, judging by the Matrix project.
  • Keywords
    competitive intelligence; data mining; mobile agents; multi-agent systems; Matrix project; mobile agents; stream data mining; stream-data processing; Algorithm design and analysis; Australia; Competitive intelligence; Data mining; Design methodology; Human factors; Internet; Mining industry; Mobile computing; World Wide Web; cooperative hybrid systems; data mining; software agents;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2005.39
  • Filename
    1439481