Lag correlation analysis based on Boolean presentation over multiple data streams
- 10.2991/iske.2007.133How to use a DOI?
- lag correlation, Boolean representation, data streams
Correlation analysis is a basic problem in the field of data stream mining. Traditional method is not suitable for real time processing with huge amount of stream data. We propose a new method based on Boolean representation for lag correlation analysis among multiple data streams. The raw stream sequence is transformed into the Boolean sequence, and the lags in any correlation pairs of sequences can be easily gained by simple bit operations. Compared with pair-wise approach, this method can get the exact result more efficiently by reducing huge calculation in very limited space especially when the amount of streams is very large. Both the theory analysis and the experimental evaluations show that this method has great computation complexity with high accuracy.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dejun Yue AU - Tiancheng Zhang AU - Ge Yu AU - Yu Gu PY - 2007/10 DA - 2007/10 TI - Lag correlation analysis based on Boolean presentation over multiple data streams BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 774 EP - 780 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.133 DO - 10.2991/iske.2007.133 ID - Yue2007/10 ER -