Abstract : In mining association rules, an user may required to tune (increase or reduce) the value of the minimum support many times before a set of useful association rules could be obtained from the transaction database.
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Discovering the frequent set of item sequences in a transaction database is one of the most important tasks in mining association rules.
最大频繁项目序列集的生成是影响关联规则挖掘的关键问题，传统的算法是通过对事务数据库的多次扫描实现的。
The reasons for many invalid rules in mining association rules are analyzed. The validity is defined and added to the judgment criterion.
针对当前关联规则采掘中可能产生许多无效关联规则的问题，分析其原因，提出在衡量标准中增加有效度，并给出了有效度的定义。
To reduce invalid rules in mining association rules, we have analyzed the reasons and presented to add the effect or the relative confidence in the judgment criteria.
为了减少关联规则挖掘中的无效关联规则，我们分析了其原因，提出了二种改进方法，即在衡量标准中增加影响度或相对置信度。
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