An efficient approach to mining indirect associations

13 years 7 months ago
An efficient approach to mining indirect associations
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has been noted recently that some of the infrequent patterns, such as indirect associations, provide useful insight into the data. In this paper, we propose an efficient algorithm, called HI-mine, based on a novel data structure, called HIstruct, for mining the complete set of indirect associations between items. Our experimental results show that HI-mine's performance is significantly better than that of the previously developed algorithm for mining indirect associations on both synthetic and real world data sets over practical ranges of support specifications. Keywords Data mining . Association rule . Indirect association . Algorithm
Qian Wan, Aijun An
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JIIS
Authors Qian Wan, Aijun An
Comments (0)