By analysing "basket data", supermarkets can tailor promotions to particular customers' preferences.
超市通过对顾客购买信息的分析可以适应顾客的特殊的购买偏好。
The key idea of mining association rules for the basket data is studied and several methods to improve algorithm efficiency and rules selection are given.
对零售业销售数据关联规则挖掘算法的关键思想进行了研究，给出了各种提高算法效率的方法以及对规则选择的方法。
In this example, we will perform a market basket analysis on transactional retail data.
这个示例中，我们将对零售交易数据进行市场购物篮分析。
应用推荐