Usage of Association Rule Mining in Course Selection for Industrial Trainings

In this paper, the authors focus on usefulness of association rule mining in education and counselling. Knowledge extracted using ARM will be helpful in decision making for students to determine courses chosen for industrial trainings. In this paper, they are deriving preferable courses for pursuing trainings for students based on course combinations. Here, two measures are used for deciding the usefulness of an association rule i.e. support and confidence and only those rules are selected which satisfy both a minimum support and a minimum confidence threshold.

Provided by: International Journal of Advance Research in Science and Engineering (IJARSE) Topic: Data Management Date Added: Mar 2015 Format: PDF

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