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A New Statistical Tool for Finding Causal Conditions for Small Data Sets and Its Software

  • Kazunori Yamaguchi
  • Yasunari Kono
  • Chooichiro Asano
Conference paper
Part of the Frontiers in Statistical Quality Control book series (FSQC, volume 7)

Abstract

We propose a method that finds target groups such that the response probability of a dichotomous dependent variable is larger than a pre-specified target value. This is enabled by a selection of independent variables with high order interactions. The method is effective to extract interesting patterns from datasets. We developed software for this method. The software incorporates various types of tools like data management, model building, visualization, and so on.

Keywords

Association Rule Response Probability Mining Association Rule Percent Confidence Interval High Order Interaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Kazunori Yamaguchi
    • 1
  • Yasunari Kono
    • 2
  • Chooichiro Asano
    • 3
  1. 1.Department of Industrial RelationsRikkyo UniversityTokyoJapan
  2. 2.Graduate School of Social RelationsRikkyo UniversityTokyoJapan
  3. 3.Faculty of EngineeringSoka UniversityTokyoJapan

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