Mining frequent closed itemsets with one database scanning

被引：0
|
作者：
Qiu, Yong [1 ]
Lan, Yong-Jie [1 ]
机构：
[1] Shandong Inst Business & Technol, Sch Informat & Elect Engn, YanTai 264005, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
data mining; association rules; FP-tree; frequent itemsets;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Frequent closed itemsets mining has become an important alternative of association rule mining recently. CloSET+ is a efficient algorithm to find Frequent closed itemsets without candidate generation. However, CloSET+ must scan database two times. In order to enhance the efficiency of CloSET+ algorithms and reduce the I/O cost of database scanning in frequent closed itemsets mining, propose a novel algorithm called QCloSET+ which can mining Frequent closed itemsets with one database scanning.
引用
收藏
页码：1326 / +
页数：2
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