Tree-Encoded Bitmaps
Summary: Tree-Encoded Bitmaps store 0/1 runs in a binary-tree: longer runs sit higher, shorter runs lower. It supports fast random access and intersections; experiments show gains over prior compression for dense or weakly clustered bitmaps, with up to 33% space savings on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Harald Lang (Technical University of Munich)
- 2. Alexander Beischl (Technical University of Munich)
- 3. Viktor Leis (Friedrich Schiller University of Jena)
- 4. Peter Boncz (Centrum Wiskunde & Informatica)
- 5. Thomas Neumann (Technical University of Munich)
- 6. Alfons Kemper (Technical University of Munich)
BibTeX Citation
@inproceedings{lang_sigmod20,
title = {{Tree-Encoded Bitmaps}},
author = {Lang, Harald and Beischl, Alexander and Leis, Viktor and Boncz, Peter and Neumann, Thomas and Kemper, Alfons},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380588},
url = {https://dl.acm.org/doi/10.1145/3318464.3380588},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,782 | Cuckoo Index: A Lightweight Secondary Index Structure | 2020 | VLDB | 6.5115802e-05 |
| 7,960 | CUBIT: Concurrent Updatable Bitmap Indexing | 2025 | VLDB | 5.5181056e-05 |
| 9,518 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD | 5.256602e-05 |
| 11,702 | LES3: Learning-based Exact Set Similarity Search | 2021 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,894 | Optimizing Queries On Compressed Bitmaps | 2000 | VLDB |
| 2 | 9,635 | Memory-Efficient Search Trees for Database Management Systems | 2021 | SIGMOD |
| 3 | 2,773 | On the Performance of Bitmap Indices for High Cardinality Attributes | 2004 | VLDB |
| 4 | 1,464 | An Efficient Bitmap Encoding Scheme for Selection Queries | 1999 | SIGMOD |
| 5 | 6,246 | Compact B-Trees | 1979 | SIGMOD |
| 6 | 1,301 | A Memory Efficient Reachability Data Structure Through Bit Vector Compression | 2011 | SIGMOD |
| 7 | 1,867 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB |
| 8 | 9,518 | Revisiting B-tree Compression: An Experimental Study | 2024 | SIGMOD |
| 9 | 2,224 | An Experimental Study of Bitmap Compression vs. Inverted List Compression | 2017 | SIGMOD |
| 10 | 5,472 | Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps | 2006 | VLDB |