Abstract
Correlation analysis is a basic problem in the field of data stream mining. In this paper 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 proposed method can get the exact result more efficiently by reducing huge calculation in very limited space. Both the theory analysis and the experimental evaluations show that this method has great computation complexity with high accuracy.
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