• DocumentCode
    2305194
  • Title

    Clustering Based Compress Data Cube Algorithm

  • Author

    Xie, Zhijun ; Nie, Mingxing ; Wang, Tongsen

  • Author_Institution
    Dept. of Comput. & Inf., Fujian Univ. of Technol., Fuzhou, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    429
  • Lastpage
    433
  • Abstract
    In this paper, we present a novel clustering based technique to build an approximate compressed data cube and using this compressed data cube to provide answers to queries directly. Results of experiments on the effectiveness of Compact Cube are presented, using both synthetic and real-world data. The results indicate that the proposed Compress Cube can efficiently reduce the cube size. Through comparing the algorithm with some other algorithms, we can conclude that the compact cube is more efficient than others.
  • Keywords
    data compression; pattern clustering; approximate compressed data cube; clustering based technique; compact cube; compress data cube algorithm; Aggregates; Clustering algorithms; Costs; Distribution functions; Frequency estimation; Probability density function; Relational databases; Software algorithms; Software engineering; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.330
  • Filename
    5319589