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Analysis of Self-Injurious Behavior by the LERS Data Mining System

  • Rachel L. Freeman
  • Jerzy W. Grzymala-Busse
  • Laura A. Riffel
  • Stephen R. Schroeder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2253)

Abstract

A large number of individuals with disabilities engage in problem behaviors which are influenced by environmental and social factors [16]. A smaller, but significant, proportion of problem behaviors appear to maintained by physiological events [4], [11], [16]. Over time, problem behavior maintained primarily by physiological events may be influenced by environmental factors [3]. For these reasons, a more sophisticated assessment approach that considers the interrelation between physiological and environmental factors is needed [9], [16].

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Rachel L. Freeman
    • 1
  • Jerzy W. Grzymala-Busse
    • 2
  • Laura A. Riffel
    • 1
  • Stephen R. Schroeder
    • 1
  1. 1.Bureau of Child Research, Institute for Life Span StudiesUniversity of KansasLawrenceUSA
  2. 2.Department of Electrical Engineering and Computer ScienceUniversity of KansasLawrenceUSA

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