• DocumentCode
    2622857
  • Title

    An Innovative Bucket Sorting Algorithm Based on Probability Distribution

  • Author

    Zhao, Zhongxiao ; Min, Chen

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Fujian Univ. of Technol., Fuzhou, China
  • Volume
    7
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    846
  • Lastpage
    850
  • Abstract
    In a bucket sorting algorithm, the key to increase bucket sorting efficiency is how to uniformly distribute records into each "bucket". The data collected from empirical studies usually follow a certain probability distribution in a certain interval. To sort this kind of data, this paper proposed an innovative method through constructing a hash function based on its probability density function. Then n records can be allocated into n buckets uniformly according to the value of their key, which enables the sorting time of the proposed bucket sorting algorithm to reach O(n) under any circumstance.
  • Keywords
    file organisation; probability; sorting; hash function; innovative bucket sorting algorithm; probability density function; probability distribution; Computational complexity; Computer science; Density functional theory; Distributed computing; Information science; Partitioning algorithms; Probability density function; Probability distribution; Sorting; Upper bound; Bucket Sorting; Probability Distribution; algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.376
  • Filename
    5170434