Mining correlations between multi-streams based on Haar wavelet

Authors:
Anlong Chen;Changjie Tang;Changan Yuan;Jing Peng;Jianjun Hu
Affiliations:
College of Computer Science and Engineering, Sichuan University, Sichuan ChengDu, China;College of Computer Science and Engineering, Sichuan University, Sichuan ChengDu, China;College of Computer Science and Engineering, Sichuan University, Sichuan ChengDu and Department of Information Technology, Guangxi Teachers Education University, NanNing, China;College of Computer Science and Engineering, Sichuan University, Sichuan ChengDu, China;College of Computer Science and Engineering, Sichuan University, Sichuan ChengDu, China
Venue:
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Year:
2005

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Abstract

Mining correlation between multi-streams is a significant task. The main contributions of this paper included: (1) Proposes the equivalence model and equivalence theorems to computing correlation coefficient. (2) Designs anti-noise algorithm with sliding windows to compute correlation measure. (3) Gives extensive experiments on real data and shows that new algorithm works very well on the streams with noise in the environment of short size windows.