Apriori算法的改进及在电子商务中的应用
Improvement of Apriori algorithm and its application in electronic commerce

针对经典Apriori算法中挖掘到的结果不能实现商家利益最大化和推荐权值人为设定的问题，在考虑商品利润和销量的基础上，提出基于Apriori算法的加权关联规则模型. 最后，在实际购物篮数据的测试中，验证了改进后算法实用性.
In order to solve the problem that the results of the classical Apriori algorithm can not maximize the profit of the merchant and artificially set the recommended weight，this paper proposes a weighted association rule model based on the Apriori algorithm，taking into account the profit and sales of the product. In the actual test data of the shopping basket，the improved algorithm showed its usefulness