Researches And Applications Of The Association Rule Mining Algorithms Based On Spleen Feebleness Diagnosis

First, concepts and theories of the data mining and algorithms of association rules are introduced. Then the problem of spleen feebleness clinic data mining is analyzed; the key and bottle-neck child problems are extracted from it. Optimized algorithms corresponding to different problems are proposed, analyzed, tested and assessed. At last, existed excellent algorithms and our optimized algorithms are integrated and implemented and the frame of spleen feebleness clinic data mining is constructed.