Efficient Haar+ Synopsis Construction for the Maximum Absolute Error Measure

Summary: Proposes efficient Haar+ synopsis construction for maximum absolute error measure by keeping a minimal set of optimal synopses per node. Also introduces coefficient-value restrictions and grouping into compact representations to speed up computation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11752
Venue: VLDB
Year: 2018
Pagerank: 4.1945683e-05
Overall Rank: 11,751 | 18.26%
DOI: 10.14778/3136610.3136614

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
222	Wavelet-Based Histograms for Selectivity Estimation	1998	SIGMOD	0.00032828302
243	Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases	2001	SIGMOD	0.00031074984
273	Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets	1999	SIGMOD	0.00029390945
1,127	Dynamic Maintenance of Wavelet-Based Histograms	2000	VLDB	0.00013819179
2,661	WALRUS: A Similarity Retrieval Algorithm for Image Databases	1999	SIGMOD	8.3575285e-05
3,719	Space efficiency in Synopsis construction algorithms	2005	VLDB	6.8204683e-05
4,659	One-Pass Wavelet Synopses for Maximum-Error Metrics	2005	VLDB	6.0160083e-05
4,698	Deterministic Wavelet Thresholding for Maximum-Error Metrics	2004	PODS	5.9887317e-05
5,903	Building Wavelet Histograms on Large Data in MapReduce	2012	VLDB	5.2791351e-05
7,459	Compact Histograms for Hierarchical Identifiers	2006	VLDB	4.7243492e-05
9,061	Optimality and Scalability in Lattice Histogram Construction	2009	VLDB	4.4039656e-05

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