According to the value of consult, association rules were classified into positive, negative and invalid association rules. The new algorithm could find out the negative-item-contained rules.

利用参考度将关联规则分为正关联规则、负关联规则和无效关联规则，从而可以用算法挖掘带有负项的关联规则。

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The negative items are introduced to expressions, and the traditional association rules are expanded to the general association rules with positive and negative items.

在表达式中引入负项目，将这种传统的关联规则扩展成包含正、负项目的一般化关联规则。

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In addition, when the new algorithm is mining positive association rules, it cuts out invalid rules using negative rules, and this makes the result more in line with the user's shopping behavior.

另外，新算法在挖掘正规则的同时，利用负规则裁减掉无效规则，得到的结果更符合用户的购物行为。

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