wimleers/qarminer

Quantitative association rule mining app written in C++/Qt. Extremely fast, memory-efficient, optimized implementation of the FP-growth frequent itemset mining algorithm. Apriori quantitative association rule mining algorithm. Can handle .arff input data. Written for the project associated with the "Data Mining" course at Hasselt University in Belgium.

语言：C++ · GitHub 星标：6 · Fork：1

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