An Incremental Rule Induction Algorithm Based on Ordering Relations

  • Authors:
  • Xiuyi Jia;Lin Shang;Jiajun Chen;Xinyu Dai

  • Affiliations:
  • State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China 210093

  • Venue:
  • RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
  • Year:
  • 2009

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Abstract

Based on multi-dominance discernibility matrices, an incremental algorithm INRIDDM is proposed by means of dominance-based rough set approach. For the incremental algorithm, when a new object arrives, after updating one row or one column in the matrix, we could get the updated rule sets. Computation analysis and experimental results show that the incremental algorithm INRIDDM is superior to other non-incremental algorithms on dealing with large data sets.