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Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets

Summary: Wavelet-based compact data cube for sparse, high-dimensional data enables approximate OLAP aggregates. Two I/O-efficient construction algorithms; online queries require one to a few I/Os with tunable accuracy, outperforming histograms and random sampling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3099
Venue
SIGMOD
Year
1999
Pagerank
0.00029390945
Overall Rank
273 | 98.11%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 53 citing papers.

Rank Citing Paper Year Venue Pagerank
12,338 A Wavelet Transform for Efficient Consolidation of Sensor Relations with Quality Guarantees 2009 VLDB 4.1945683e-05
12,610 AIMS: An Immersidata Management System 2003 CIDR 4.1945683e-05
12,643 How to Evaluate Multiple Range-Sum Queries Progressively 2002 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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