Mining Correlations Between Multi-Streams Based On Haar Wavelet
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web(2005)
摘要
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.
更多查看译文
关键词
computing correlation coefficient,correlation measure,mining correlation,designs anti-noise algorithm,equivalence model,equivalence theorem,new algorithm,short size windows,extensive experiment,main contribution,Haar wavelet
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要