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In view of the large data volume and fast update feature of Tmall transaction database, the original Apriori algorithm is not suitable for Tmall transaction data mining due to its frequent scan of the database, so improved the search efficiency of original Apriori algorithm combining Apriori nature, and applied it to the association rules extraction of Tmall alcohol commodities trading data. Finally obtain association rules based on the algorithm and put forward targeted marketing strategy.

Apriori Improved Algorithm and its Application in Tmall