·2,447,543篇论文数据，部分数据来源于NoteExpress
最后得到频繁项目集和关联规则。
Finally the frequent item sets and association rules were found.
然后对数据先进行聚类，再在聚类结果中发掘频繁项目集；
The second, clustered the data, and then discovered frequent items sets in the result of clustering.
挖掘最大频繁项目集是多种数据挖掘应用中的关键问题 。
Mining maximum frequent itemsets is a key problem in many data mining application.
应用推荐