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Range sum queries are fundamental part of modern data analysis application. But traditional query algorithms can not be applied on data stream, which is an unbounded sequence of data elements generated at a rapid rate. In this paper, we propose a novel approach for computing range sum from data streams based on wavelet sliding window model. The basic idea is to divide sliding window into equally-sized...
The constructions of Haar wavelet synopses for large datasets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a guaranteed maximum error has gained attention. The goal is to find optimal synopses that minimize the approximation error under certain metrics. There are two approaches to realize this goal: size bounded and error bounded....
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