TCD-CS-93-22 Cunningham P. & Mikoyan A.N.
Using CBR Techniques to Detect Plagiarism in Computing AssignmentsSeptember 1993.
Pádraig Cunningham, Dept. of Computer Science, Trinity College,
Dublin 2, Ireland.
Alexander N. MIkoyan, Dept. of Mathematics and Theoretical Mechanics,
Moscow State University
The problems of case retrieval in CBR and plagiarism detection have in
common a need to detect close but not exact matches between exemplars.
In this paper we describe a plagiarism detection system that has been
inspired by ideas from CBR research. In particular this system can
detect similarities between programs without performing exhaustive
comparisons on all exemplars. Our analysis of similarity in this well
controlled domain offers some insights into the kinds of profiles that
can be used in similarity assessment in general. We argue that the
choice of a perspicuous profile is crucial to any classification task
and determining the best predictive features may require significant
analysis of the problem domain.
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