Integrating Classification and Association Rule Mining: A Concept Lattice Framework

  • Keyun Hu
  • Yuchang Lu
  • Lizhu Zhou
  • Chunyi Shi
Conference paper

DOI: 10.1007/978-3-540-48061-7_53

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1711)
Cite this paper as:
Hu K., Lu Y., Zhou L., Shi C. (1999) Integrating Classification and Association Rule Mining: A Concept Lattice Framework. In: Zhong N., Skowron A., Ohsuga S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science, vol 1711. Springer, Berlin, Heidelberg

Abstract

Concept lattice is an efficient tool for data analysis. In this paper we show how classification and association rule mining can be unified under concept lattice framework. We present a fast algorithm to extract association and classification rules from concept lattice.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Keyun Hu
    • 1
  • Yuchang Lu
    • 1
  • Lizhu Zhou
    • 1
  • Chunyi Shi
    • 1
  1. 1.Computer Science DepartmentTsinghua UniversityBeijingP.R.China

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