中文摘要：

针对实际应用中用户对关联规则的多个兴趣度指标变化感兴趣的问题，提出了一种新的变化挖掘显露模式，不仅考虑了支持度的变化，而且考虑了置信度或其它兴趣度指标的变化．基于Pareto排序，还设计了相应的显露模式的挖掘算法．实证分析的结果表明，所提算法可以有效地识别2个时期的数据集显露模式．

英文摘要：

According to the fact that users are interested in the changes of multiple interest measures of association rules, a new kind of emerging pattern is presented which considers not only the changes of support but also the changes of confi- dence and other measures. Based on the Pareto sorting, a corresponding mining algorithm for Emerging Pattern is designed. Empirical evaluation shows that the proposed algorithm is very effective to recognize emerging patterns from two-period datasets.