BE-Tree: An Index Structure to Efficiently Match Boolean Expressions over High-dimensional Discrete Space
Summary: BE-Tree: dynamic index for efficient Boolean-expr matching in high-dim discrete spaces. 2-phase space-cutting leverages discrete-domain properties; self-adjusting policies adapt to workloads; evaluation shows superiority over top Boolean indexes. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,545 | SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window | 2016 | VLDB | 6.0995026e-05 |
| 6,992 | An Efficient Publish/Subscribe Index for E-Commerce Databases | 2014 | VLDB | 4.8701339e-05 |
| 7,120 | Location-Aware Pub/Sub System: When Continuous Moving Queries Meet Dynamic Event Streams | 2015 | SIGMOD | 4.8260729e-05 |
| 8,587 | A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions | 2021 | SIGMOD | 4.4902253e-05 |
| 9,254 | PS-Tree-Based Efficient Boolean Expression Matching for High-Dimensional and Dense Workloads | 2019 | VLDB | 4.3690661e-05 |
| 10,232 | Efficient Temporal Subgraph Management: A New Interval Index | 2026 | VLDB | 4.1945683e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 9,254 | PS-Tree-Based Efficient Boolean Expression Matching for High-Dimensional and Dense Workloads | 2019 | VLDB | 4.3690661e-05 |
| 8,587 | A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions | 2021 | SIGMOD | 4.4902253e-05 |