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Fast Knowledge Reduction Algorithms Based on Quick Sort

  • Feng Hu
  • Guoyin Wang
  • Lin Feng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5009)

Abstract

Many researchers are working on developing fast data mining methods for processing huge data sets efficiently. In this paper, we develop some efficient algorithms for knowledge reduction based on rough sets. In these algorithms we use the fact that the average time complexity for the quick sort algorithm for a two dimensions table with n rows and m columns is just n×(m + logn) (not m×n×logn). Experiment results also show the efficiency of these algorithms.

Keywords

Huge data Knowledge reduction Rough set Quick sort Divide and conquer 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Feng Hu
    • 1
    • 2
  • Guoyin Wang
    • 1
    • 2
  • Lin Feng
    • 1
    • 2
  1. 1.School of Information Science and TechnologySouthwest Jiaotong UniversityChengduP.R. China
  2. 2.Institute of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqingP.R. China

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