Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (4): 39-44.

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A Quick Algorithm for Value ReductionBased on Hash Algorithm

ZHANG Qing-hua1,2, XING Yu-ke1   

  1. 1.Institute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;
    2.College of Mathematics and Physics,Chongqing University of Posts andTelecommunications,Chongqing 400065,China
  • Received:2011-09-08 Published:2018-11-16

Abstract: A new quick value reduction method is proposed based on rough set theory,decision tree theory and granular computing theory.Firstly,the characteristic of data is analyzed by rough set theory,meanwhile,using Hash algorithm,a partition composed of all equivalence classes is obtained and the positive region is calculated,then,value reduction can be completed quickly due to the advantage of Hash algorithm.Compared with traditional algorithms,analysis and simulation results show the proposed algorithm has lower time complexity.

Key words: Hash algorithm, rough sets, value reduction, rule acquisition, data mining

CLC Number: 

  • TP18
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