DocumentCode
2257647
Title
An Algorithm of Dynamic Associate Rule Based on Sliding Windows
Author
Meng, Zhiqing ; Shao, Baosheng ; Jiang, Min
Author_Institution
Coll. of Bus. Adm., Zhejiang Univ. of Technol., Hongzhou, China
fYear
2010
fDate
11-14 Dec. 2010
Firstpage
51
Lastpage
54
Abstract
It is well-known that the traditional association rules with time can´t be found out in many algorithms. First, according to concept of dynamic association rules, this paper analyzes the disadvantages of traditional association rules. Then, the concepts of dynamic association rules based on sliding windows and the definition of time vector representation of dynamic association rules are put forward. So, the dynamic association rules can measure out how association rules change over time. Next, a kind of algorithm to mine dynamic association rules on sliding window is proposed. Finally, numerical experiments show that the proposed algorithm is efficient for finding out dynamic association rules with time.
Keywords
data mining; dynamic association rule; sliding window; time vector representation; algorithm; dynamic association rule; sliding windows; time vector;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-9114-8
Electronic_ISBN
978-0-7695-4297-3
Type
conf
DOI
10.1109/CIS.2010.18
Filename
5696230
Link To Document