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Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps

Summary: Multi-hash bitmap encoding enables direct access to compressed bitmaps without decompression. It yields approx results with a tunable false-positive rate and guaranteed no misses, delivering 90–100% accuracy and 1–3 orders of magnitude speedups over WAH. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9497
Venue
VLDB
Year
2006
Pagerank
5.413565e-05
Overall Rank
5,605 | 61.05%
DOI
-

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Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
121 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00045429472
1,033 Bitmap Index Design and Evaluation 1998 SIGMOD 0.0001453376
1,701 An Efficient Bitmap Encoding Scheme for Selection Queries 1999 SIGMOD 0.00010828605
1,955 Performance Measurements of Compressed Bitmap Indices 1999 VLDB 9.9641178e-05
2,065 Optimizing Queries On Compressed Bitmaps 2000 VLDB 9.6467359e-05
2,984 On the Performance of Bitmap Indices for High Cardinality Attributes 2004 VLDB 7.7768363e-05
3,918 Compressing Large Boolean Matrices Using Reordering Techniques 2004 VLDB 6.6267457e-05
4,532 Query Optimization for Selections using Bitmaps 1999 SIGMOD 6.1027943e-05
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