Title :
Selection of Minimum Support Degree with Rate of Frequent Items
Author :
Haiyan, Zhou ; Xiaobing, Chen ; Yunyang, Yan
Author_Institution :
Dept. of Comput. Eng., Huaiyin Inst. of Technol., Huaian, China
Abstract :
Association rules mining is an important branch of data mining research, which affords interesting relations between items of data sets. Minimum support degree is an important reference value in association rules mining and its threshold is usually given by user. The problem of how to determine the threshold when data mining is not researched until nowadays. So a selection mining support degree algorithm is put forwarded in this paper, and it has important significance in practical application.
Keywords :
data mining; association rules mining; data mining; frequent items; minimum support degree; Algorithm design and analysis; Association rules; Computational intelligence; Data engineering; Data mining; Design engineering; Machine learning; Pattern recognition; Performance analysis; Transaction databases; association rules; data mining; minimum support degree;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.65
