• DocumentCode
    2758748
  • Title

    The Research of K-means Clustering Algorithm Based on Association Rules

  • Author

    Jun, Wang ; Zheng-Zheng, OuYang

  • Author_Institution
    Modern Educ. Technol. Center, Wuhan Polytech. Univ., Wuhan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    285
  • Lastpage
    286
  • Abstract
    With the continued expansion of network resources and the rapid change of old and new information, the traditional information retrieval is difficult to adapt to the need of management of mass electronic data. It is a very important aspect of how to locate the information you want conveniently and accurately and improve the efficiency of search engines.
  • Keywords
    Algorithm design and analysis; Association rules; Clustering algorithms; Computer network management; Computer networks; Data engineering; Data mining; Electronic mail; Internet; Search engines; Apriori; Clustering; Data Mining; K-means;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.26
  • Filename
    5493076
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2758748