Analysis of Self-Injurious Behavior by the LERS Data Mining System
A large number of individuals with disabilities engage in problem behaviors which are influenced by environmental and social factors . A smaller, but significant, proportion of problem behaviors appear to maintained by physiological events , , . Over time, problem behavior maintained primarily by physiological events may be influenced by environmental factors . For these reasons, a more sophisticated assessment approach that considers the interrelation between physiological and environmental factors is needed , .
Unable to display preview. Download preview PDF.
- 53.1Bakeman, R., & Gottman, J. M.: Observing Interaction: An Introduction to Sequential Analysis. Cambridge: Cambridge University Press, 1986.Google Scholar
- 53.2Booker, L. B., Goldberg, D. E., & Holland, J. F.: Classifier systems and genetic algorithms, In Machine Learning. Paradigms and Methods. Carbonell, J. G. (ed.), The MIT Press, 235–282, 1990.Google Scholar
- 53.3Demchak, M. A., & Halle, J.: Motivational assessment: A potential means of enhancing treatment success of self-injurious individuals. Education and Training of the Mentally Retarded 20 (1985) 25–38.Google Scholar
- 53.6Freeman, R.L., Grzymala-Busse, J.W. Riffel, L.A. and Schroeder, S.R.: A Self-Injurious Behavior Data Set Analyzed by Data Mining System LERS. Proceedings of the Japanese Society for Artificial Intelligence International Workshop on Rough Set Theory and Granular Computing, RSTGC-2001, May 20–22, 2001, Matsue, Shimane, Japan, 195–200.Google Scholar
- 53.7Gottman, J. M.: Time-Series Analysis: A Comprehensive Introduction for Social Scientists. New York: Cambridge University Press, 1981.Google Scholar
- 53.8Grzymala-Busse, J. W.: LERS-A system for learning from examples based on rough sets. In Slowinski, R. Ed. Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, Boston, London, 3–18, 1992.Google Scholar
- 53.9Guess, D., & Carr, E.: Emergence and maintenance of stereotypy and self-injury. American Journal of Mental Retardation 96 (1991) 335–344.Google Scholar
- 53.10Holland, J. H., Holyoak K. J., & Nisbett, R. E.: Induction. Processes of Inference, Learning, and Discovery. Cambridge, MA: The MIT Press, 1986.Google Scholar
- 53.11Iwata, B. A., Pace, G M., Dorsey, M. F., Zarcone, J. R., Vollmer, T. R., Smith, R. G., Rodgers, T., A., Lerman, D. C., Shore, B. A., Mazaleski, J. L., Goh, H., Cowdery, G. E., Kalsher, M. J., McCosh, K. C., & Willis, K. D.: The functions of self-injurious behavior: An experimental-epidemiological analysis. Journal of Applied Behavior Analysis 27 (1994) 215–240.CrossRefGoogle Scholar
- 53.12Karsh, K. G., Repp, A. C., & Ludewig, D.: Portable Computer Systems for Observational Research: A Software User’s Guide. DeKalb, IL: Communitech, 1989.Google Scholar
- 53.14Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht, Boston, London, 1991.Google Scholar
- 53.15Repp, A. C., & Karsh, A. C.: Laptop computer system for data recording and contextual analyses. In T. Thompson & D. B. Gray (Eds.), Destructive behavior in developmental disabilities: Diagnosis and treatment (pp. 83–101). Thousand Oaks, CA: Sage, 1994.Google Scholar