Claim: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data

• Main Authors: SONG, Guojie, YANG, Dongqing, Cui, Bin, ZHENG, Baihua, WANG, Tengjiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/386
• Institution: Singapore Management University

Recently, frequent itemsets mining over data streams attracted much attention. However, mining closed itemsets from data stream has not been well addressed. The main difficulty lies in its high complexity of maintenance aroused by the model definition of closed itemsets and the dynamic changing of...