Study of Association Rule Mining on Technical Action of Ball Games

Association rule mining is an important topic in the field of Data Mining, which finds strong association rules by mining frequent item sets. Apriori algorithm is typical Boolean algorithm for mining association rules, which uses the method of iteration to create high-dimensional frequent item sets through low-dimensional ones. This paper introduces the design methods and technology realization of association rule mining by Apriori algorithm in technical action of ball games, after a simple description of ball scripting language design method. Then take the association rule mining on table tennis technical and tactical analysis system as an example. That gives the further evidence of the effectiveness of Apriori algorithm. And resolve the problem of association rule mining on technical movement of ball games.