There are three kinds of frequent patterns being proposed for mining association rules: frequent itemset, frequent closed itemset and maximal frequent itemset.
在关联规则挖掘中,常用的频繁模式有频繁项集、频繁闭项集以及最大频繁项集。
参考来源 - 频繁闭项集并行挖掘算法的研究与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
针对频繁闭项集挖掘算法中数据结构与处理机制复杂的问题，提出窗口快速滑动的数据流频繁闭项集挖掘算法——MFWSR。
This paper proposes an algorithm of Mining Frequent closed itemsets with Window Sliding Rapidly(MFWSR) against the complexity of data structure and process for determination.
引入扩展频繁项集的概念，大大减小了检查频繁项集是否闭的搜索空间。
Furthermore, the concept of an expanded frequent itemset is introduced to greatly decrease the searching range for adjusting whether a frequent itemset is closed or not.
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