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| Correlation Analysis on Multidimensional Data Streams Based on Base-Windows |
| QIAN Jiang-Bo1, WANG Zhi-Jie1, CHEN Hua-Hui1, DONG Yi-Hong1, XIE Zhi-Jun1, WANG Yong-Li2 |
1.College of Information Science and Engineering,Ningbo University,Ningbo 315211
2.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094 |
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Abstract Multidimensional data stream analysis is seldom studied, even the minor contribution is mainly from the analytical works on a single sliding window model. An on-line correlation analysis algorithm called Base_win_CCA algorithm is presented, which significantly reduces space and time complexity by performing simultaneous correlation analysis on multidimensional data streams. Technically, the algorithm achieves the correlation of multiple windows in a flexible and accurate way by dynamically maintaining statistics data. Theoretical analysis and experimental results indicate that the proposed algorithm is remarkable in performance when the window is larger with sufficient data streams and users.
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Received: 28 April 2011
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2012, Vol. 25 
