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
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;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.253
