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Generate (F, ε)-Dynamic Reduct Using Cascading Hashes

  • Pai-Chou Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6401)

Abstract

Dynamic reducts with large stability coefficients are good candidates for decision rules generation but it is time consuming to generate them. This paper presents an algorithm dReducts using a cascading hash function to generate (F, ε)-dynamic reducts. With the cascading hash function, an F-dynamic reduct can be generated in O(m 2 n) time with O(mn) space where m and n are total number of attributes and total number of instances of the table. Empirical results of generating (F, ε)-dynamic reducts using five of ten most popular UCI datasets are presented and they are compared to the Rough Set Exploration System (RSES).

Keywords

dynamic reducts rough sets cascading hash function 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Pai-Chou Wang
    • 1
  1. 1.Department of Information ManagementSouthern Taiwan UniversityTainan CountyTaiwan

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