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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
9496
Venue
VLDB
Year
2006
Pagerank
5.4181535e-05
Overall Rank
5,596 | 61.08%
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 0.00045447517
1,035 Bitmap Index Design and Evaluation 1998 SIGMOD 0.00014532778
1,704 An Efficient Bitmap Encoding Scheme for Selection Queries 1999 SIGMOD 0.000108332
1,951 Performance Measurements of Compressed Bitmap Indices 1999 VLDB 9.9685919e-05
2,061 Optimizing Queries On Compressed Bitmaps 2000 VLDB 9.6529345e-05
2,986 On the Performance of Bitmap Indices for High Cardinality Attributes 2004 VLDB 7.778912e-05
3,916 Compressing Large Boolean Matrices Using Reordering Techniques 2004 VLDB 6.6328898e-05
4,528 Query Optimization for Selections using Bitmaps 1999 SIGMOD 6.1083382e-05
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