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An Incremental Approach for Updating Approximations Based on Set-Valued Ordered Information Systems

  • Chuan Luo
  • Tianrui Li
  • Hongmei Chen
  • Dun Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7413)

Abstract

Incremental learning is an efficient technique for knowledge discovery in a dynamic database. Rough set theory is an important mathematical tool for data mining and knowledge discovery in information systems. The lower and upper approximations in the rough set theory may change while data in the information system evolves with time. In this paper, we focus on the incremental updating principle for computing approximations in set-valued ordered information systems. The approaches for updating approximations are proposed when the object set varies over time.

Keywords

Rough set theory approximations incremental learning information systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chuan Luo
    • 1
  • Tianrui Li
    • 1
  • Hongmei Chen
    • 1
  • Dun Liu
    • 2
  1. 1.School of Information Science and TechnologySouthwest Jiaotong UniversityChengduChina
  2. 2.School of Economics and ManagementSouthwest Jiaotong UniversityChengduChina

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