loading...
Data Partitioning over Data Streams Based on Change-aware Sampling
Beijing, China October 12-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2005.47IEEE International Conference on e-Bu ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Yongli Wang, Hongbing Xu, Yisheng Dong, Xuejun Liu, Jiangbo Qian, "Data Partitioning over Data Streams Based on Change-aware Sampling," E-Business Engineering, IEEE International Conference on, pp. 582-585, IEEE International Conference on e-Business Engineering (ICEBE'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICEBE.2005.47,
author = {Yongli Wang and Hongbing Xu and Yisheng Dong and Xuejun Liu and Jiangbo Qian},
title = {Data Partitioning over Data Streams Based on Change-aware Sampling},
journal ={E-Business Engineering, IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2430-3},
pages = {582-585},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICEBE.2005.47},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - E-Business Engineering, IEEE International Conference on
TI - Data Partitioning over Data Streams Based on Change-aware Sampling
SN - 0-7695-2430-3
SP582
EP585
A1 - Yongli Wang,
A1 - Hongbing Xu,
A1 - Yisheng Dong,
A1 - Xuejun Liu,
A1 - Jiangbo Qian,
PY - 2005
KW - null
VL - 0
JA - E-Business Engineering, IEEE International Conference on
ER -
 
Yongli Wang, Jiamusi University, Jiamusi, China
Hongbing Xu, Southeast University, Nanjing
Yisheng Dong, Southeast University, Nanjing
Xuejun Liu, Southeast University, Nanjing
Jiangbo Qian, Southeast University, Nanjing

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.