A New Proposal Classification Method Based on Fuzzy Association Rule Mining for Student Academic Performance Prediction
A New Proposal Classification Method Based on Fuzzy Association Rule Mining for Student Academic Performance Prediction
This paper presents a new proposal model of predictor using FAR to elevating prediction performance and avoids extraction of the fixed set of FAR before prediction progress. Indeed, a modification tree structure of a FP-growth tree is used in fuzzy frequent itemset mining, when a new requirement raised, the proposed algorithm mines directly in the tree structure for the best prediction result.