IEEE International Conference on e-Business Engineering (ICEBE'05) Data Partitioning over Data Streams Based on Change-aware Sampling Beijing, China October 12-October 18 ISBN: 0-7695-2430-3
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2005.47
A novel data partitioning method adapted to a distributed parallel streams processing system for power industry is proposed. This method uses changeaware sampling algorithm that can guarantee low error to describe the distribution characteristics of the data-values first. And then it uses an improved heuristic constructing equal depth histograms algorithm to generate approximate partition vector efficiently. Experiments results on actual data prove that the proposed method is efficient, practical and suitable for time-varying data streams processing.
Citation:
Yongli Wang, Hongbing Xu, Yisheng Dong, Xuejun Liu, Jiangbo Qian, "Data Partitioning over Data Streams Based on Change-aware Sampling," icebe, pp.582-585, IEEE International Conference on e-Business Engineering (ICEBE'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||