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A Top-k Analysis Using Multi-level Association Rule Mining for Autism Treatments

  • Kelley M. Engle
  • Roy Rada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6768)

Abstract

Association rule mining is based on associations of attribute values in a database. To facilitate finding meaningful rules, we segment the database by a categorization of database records based on a taxonomy on one of the attribute value sets. To test the value of this approach we have applied it to a large database about treatment impacts on autistic children. The segmented analyses lead to interestingly, different results from the analyses done without segmentation.

Keywords

association rule mining autism data mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Kelley M. Engle
    • 1
  • Roy Rada
    • 1
  1. 1.Department of Information SystemsUniversity of Maryland Baltimore County (UMBC)BaltimoreUSA

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