Analyzing the relation between heart rate, problem behavior, and environmental events using data mining system LERS

Abstract

The relation between physiological events, environmental factors and the occurrence of problem behavior in natural settings was analyzed using the data mining system LERS (Learning from Examples based on Rough Sets). Heart-rate data were linked to environmental and behavioral data coded from videotapes of one adult subject diagnosed with severe mental retardation and who engaged in problem behavior. The results of the analysis suggest that using data mining system LERS will be a valuable strategy for exploring large data sets that include heart rate, environmental and behavioral measures.