Abstract-There are several statistical tools being used for information extraction and knowledge discovery from the students' performance analysis. This paper presents data mining approach applied to discover students' performance patterns in mathematics, English, and programming courses taught in an undergraduate engineering degree program. The interesting patterns emerging from this analysis promise to offer some helpful and constructive guidance to educational administrators and decision makers in higher education sector for the improvement and revision of teaching methodology, restructuring of curriculum, and modifying the prerequisites requirements of various courses.
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