The Haar+ Tree: A Refined Synopsis Data Structure

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The Haar+ Tree: A Refined Synopsis Data Structure
We introduce the Haar+ tree: a refined, wavelet-inspired data structure for synopsis construction. The advantages of this structure are twofold: First, it achieves higher synopsis quality at the task of summarizing data sets with sharp discontinuities than state-of-the-art histogram and Haar wavelet techniques. Second, thanks to its search space delimitation capacity, Haar+ synopsis construction operates in time linear to the size of the data set for any monotonic distributive error metric. Through experimentation, we demonstrate the superiority of Haar+ synopses over histogram and Haar wavelet methods in both construction time and achieved quality for representative error metrics.
Panagiotis Karras, Nikos Mamoulis
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2007
Where ICDE
Authors Panagiotis Karras, Nikos Mamoulis
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