DocumentCode
2874184
Title
Study on Interest-Based Association Rules Algorithm
Author
Sun, Tieli ; Liu, Zhenghong ; Liu, Yanji ; Li, Zhiying
Author_Institution
Sch. of Comput., Northeast Normal Univ., Changchun, China
Volume
2
fYear
2009
fDate
18-19 July 2009
Firstpage
478
Lastpage
480
Abstract
Support and confidence are often used to evaluate if a rule is a strong rule or not in association rules mining. But a lot of redundant and even deceivable rules will be mine in the method both theoretically and practically .The paper adopts a new threshold - interest that it is correlative coefficient in the statistics. The result is more accurate and clear if interest is taken as the weighting rule by Comparison.
Keywords
data mining; statistical analysis; correlative coefficient; deceivable rule; interest-based association rule mining algorithm; redundant rule; statistics; Association rules; Dairy products; Data mining; Educational institutions; Information processing; Itemsets; Probability; Statistics; Sun; Transaction databases; Association Rules; Data Mining; Interest; correlative coefficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location
Shenzhen
Print_ISBN
978-0-7695-3699-6
Type
conf
DOI
10.1109/APCIP.2009.253
Filename
5197240
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