Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Classifier systems and genetic algorithms
Machine learning: paradigms and methods
A new version of the rule induction system LERS
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems
Analysis of Self-Injurious Behavior by the LERS Data Mining System
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
CBMS '01 Proceedings of the Fourteenth IEEE Symposium on Computer-Based Medical Systems
A top-k analysis using multi-level association rule mining for autism treatments
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: applications and services - Volume Part IV
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Many individuals with mental retardation, autism, and other related disabilities lead lives that are significantly restricted because of problem behaviors such as self-injury and aggression. We processed two data sets, one describing heart rate patterns and the other describing the behavioral events of one subject diagnosed with severe mental retardation, visual impairments, and severe problem behavior. From these data sets the LERS data mining system induced certain and possible rule sets. In our research these rule sets were successfully used for interpretation, or, more specifically, to discover mechanisms of triggering specific physiological and behavioral patterns.