1) frequent closed itemsets
频繁闭集
1.
Online mining frequent closed itemsets over data stream;
数据流频繁闭集的在线挖掘
2) frequent closed item-set
频繁闭项集
1.
It is found in recent studies that concept lattice can be used to solve the problem of incremental frequent closed item-set mining.
近年的研究表明,概念格可以应用于解决频繁闭项集的挖掘问题。
3) frequent closed itemset
频繁闭项集
1.
Mining frequent closed itemsets in unidirectional FP-tree;
在单向FP-tree上挖掘频繁闭项集
2.
The set of frequent closed itemsets determines exactly the complete set of all frequent itemsets and is usually much smaller than the latter.
频繁闭项集惟一确定频繁项集且规模小得多,但挖掘频繁闭项集仍是很费时的。
3.
Therefore,mining frequent closed itemsets in data streams becomes a new important problem in recent years,where algorithm Moment was regarded as a typical method of them.
因此,近年来人们开始关注在数据流中挖掘频繁闭项集,其中一个典型的工作就是Moment算法。
4) frequent closed itemsets
频繁闭项集
1.
Mining of maximum frequent itemsets and frequent closed itemsets based on frequent itemsets;
基于频繁项集挖掘最大频繁项集和频繁闭项集
2.
Data mining of frequent closed itemsets with Tough constraint;
Tough型约束下的频繁闭项集挖掘
3.
In order to mine fast and efficiently frequent closed itemsets according to insertion, deletion and modification of the database, this paper proposes an incremental maintaining algorithm U_CHARM based on CHARM algorithm.
为了能够随着数据库的增加、删除和修改而快速有效地挖掘出频繁闭项集,根据CHARM算法提出了一种基于频繁闭项集挖掘的增量式维护算法。
5) closed frequent subgraph set
频繁闭图集
1.
The experiment of biology metabolize pathway dataset demonstrated that the algorithm can get the closed frequent subgraph set effectively, and can get the max frequent subgraph sets of many different threshold by execute once.
使用生物代谢路径数据集的实验证明,CFPG能有效地挖掘出唯一标号的有向连通图集中的频繁闭图集,一次运算可以挖掘出多个阈值的最大频繁子图集。
2.
The experiment of biology metabolize pathway dataset demonstrated that the algorithm can get the closed frequent subgraph set effectively,and can get the max frequent subgraph sets of many different threshold by execute once.
使用生物代谢路径数据集的实验证明,这种算法能有效地挖掘出唯一标识的有向连通图集中的频繁闭图集,一次运算可以挖掘出多个阈值的最大频繁子图集。
6) closed frequent itemset
频繁闭项集
1.
Online mining closed frequent itemsets over a stream sliding window
在线挖掘数据流滑动窗口中频繁闭项集
补充资料：频繁
次数多：频繁出入｜在战斗频繁的日子里，坚持学文化多不容易啊!
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条