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Weak Ratio Rules: A Generalized Boolean Association Rules

Author

Listed:
  • Baoqing Jiang

    (Henan University, China)

  • Xiaohua Hu

    (Henan University China, and Drexel Univeristy, USA)

  • Qing Wei

    (Henan University of Economics and Law, China)

  • Jingjing Song

    (Qingyuan Polytechnic, China)

  • Chong Han

    (Henan University, China)

  • Meng Liang

    (Henan University, China)

Abstract

This paper examines the problem of weak ratio rules between nonnegative real-valued data in a transactional database. The weak ratio rule is a weaker form than Flip Korn’s ratio rule. After analyzing the mathematical model of weak ratio rules problem, the authors conclude that it is a generalization of Boolean association rules problem and every weak ratio rule is supported by a Boolean association rule. Following the properties of weak ratio rules, the authors propose an algorithm for mining an important subset of weak ratio rules and construct a weak ratio rule uncertainty reasoning method. An example is given to show how to apply weak ratio rules to reconstruct lost data, and forecast and detect outliers.

Suggested Citation

  • Baoqing Jiang & Xiaohua Hu & Qing Wei & Jingjing Song & Chong Han & Meng Liang, 2011. "Weak Ratio Rules: A Generalized Boolean Association Rules," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 7(3), pages 50-87, July.
    • Handle: RePEc:igg:jdwm00:v:7:y:2011:i:3:p:50-87
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