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Ideally, definitions induced from examples should consist of all, and only, disjuncts that are meaningful (e.g., as measured by a statistical significance test) and have a low error rate. Existing inductive systems create definitions that are ideal with regard to large dis-juncts, but far from ideal with regard to small disjuncts, where a small (large)(More)
We describe a notation system for diagramming behavioral contingencies. The system is descriptive. Stimulus functions are not represented with special symbols, such as S(R), S(D), or UCS, but are simply described in terms of the relation between behavior and stimulus change, and the resulting outcome. The system is atheoretical, self-explanatory, and easy(More)
Classification and Association rule mining are two basic tasks of Data Mining. Classification rules mining finds rules that partition the data into disjoint sets. This paper is based on MrCAR (Multi-relational Classification Algorithm) and Kohonen's Self-Organizing Maps (SOM) approach. SOM is a class of typical artificial neural networks (ANN) with(More)
Ideally, deenitions induced from examples should consist of all, and only, disjuncts that are meaningful (e.g., as measured by a statistical signiicance test) and have a l o w error rate. Existing inductive systems create deenitions that are ideal with regard to large disjuncts, but far from ideal with regard to small disjuncts, where a small (large)(More)
For the children of the world in the hope that they will one day have access to on-line tutoring systems. And, for my wife Edna, who made sure that that I nished. Acknowledgments I would like to thank all the people who have, over time, used the KnEd interface. Your use, testing, and feedback have helped KnEd to become a robust system. In particular, I(More)