• DocumentCode
    3220510
  • Title

    Plain discussion of data mining technology research

  • Author

    Xiaodan, Zhang

  • Author_Institution
    Shenyang Univ. of Chem. Technol., Shenyang, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    296
  • Lastpage
    298
  • Abstract
    In recent years, data mining technology is more and more widely used with the rapid development of network technology and database technique. Moreover, the data mining technology has been the research emphasis of experts and scholars in various kind of field, especially the hot pot of artificial intelligence. The application functions of data mining technology is rich in: classification analysis, cluster analysis, correlation analysis, exception analysis and so on. Data mining technology is a kind of equipment to do the data analysis. It can mine the requirement information from a large amount of data and helpful for people to improve the work efficiency. This article is to introduce the present data mining technologies, provide relevant algorithm through the research of current frame of data mining technology to understand the further software development for the programmers.
  • Keywords
    artificial intelligence; data mining; pattern classification; pattern clustering; software engineering; artificial intelligence; classification analysis; cluster analysis; correlation analysis; data analysis; data mining technology; data mining technology research; database technique; exception analysis; network technology; rapid development; software development; work efficiency improvement; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Data mining; Databases; Heuristic algorithms; Prediction algorithms; classification analysis; cluster analysis; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6013718
  • Filename
    6013718