NDLI: Approximate Query Processing Based on Wavelet Transform

Content Provider	IEEE Xplore Digital Library
Author	Yun-Bo Xiong Bing Liu Yun-Fa Hu
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. & Inf. Technol., Fudan Univ., Shanghai (Yun-Bo Xiong; Bing Liu; Yun-Fa Hu)
Abstract	Approximate query processing has emerged as a cost-effective approach for dealing with the large database system. Recent work has demonstrated the effectiveness of the wavelet transform in reducing large amounts of data to compact set of wavelet coefficients. In this paper, we extend related works about approximate query processing using wavelet. Two algorithms about how to do union and difference operations directly in wavelet domain are presented. Also we propose an algorithm on the direct update of wavelet coefficients when the original database is changed. The experimental results have shown that the accuracy of using wavelet is better than that of random sampling to do union and difference operations. And when the update amount of data is not too much, the direct update of wavelet is almost as good as the optimal selected wavelet synopses
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	1337
Ending Page	1342
File Size	200373
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258700
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Query processing Wavelet transforms Signal processing algorithms Wavelet coefficients Decision support systems Database systems Information technology Wavelet domain Sampling methods Data mining OLAP Wavelet Approximate query
Content Type	Text
Resource Type	Article

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