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基于蚂蚁算法的关联规则挖掘
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YE Yong-rui ,WU Wei-ming ,GU Yong-hao
1(Beijing University of Posts and Telecommunications (Beijing) Computer Faculty, Beijing 100876,China)
2(The ANM laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China)
Abstract Ant colony algorithm is a new kind of meta-heuristic algorithms for solving combinatorial optimization problems or
continuous function optimization problems, and it borrows the mechanism of ant search,and every ant is looked for as all agent.This paper
presents an ant colony system-based data mining, association rule mining model. This heuristic algorithm based on user decision-making
model can provide a good support. This way you can quickly fi nd the association rules to ensure the accuracy of the results of the rules.
Finally, we use the experimental results to further illustrate the method effi ciency and accuracy.
Key words Machine Learning;Ant colony algorithm;heuristic; association rule; data mining
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