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.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
- Mining Correlations Between Multi-streams Based on Haar Wavelet
- Springer Berlin Heidelberg