Frequent Pattern (FP) growth Algorithm for Association Rule Mining
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Frequent Pattern (FP) growth Algorithm for Association Rule Mining
The FP-Growth Algorithm, proposed by Han, is an efficient and scalable method for mining the complete set of frequent patterns by pattern fragment growth, using an extended prefix-tree structure for storing compressed and crucial information about frequent patterns named frequent-pattern tree (FP-tree).
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