SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index
Summary: SSCard: suffix-tree-guided FM-index for cardinality estimation in LIKE predicates. Extends FM-index to multiple strings using a pruned suffix tree with pushup compression for tight short bounds; spline interpolation with error guarantees, plus bidirectional and incremental updates. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yirui Zhan (Peking University)
- 2. Wen Nie (Huawei Technologies Co. Ltd.)
- 3. Jun Gao (Peking University)
BibTeX Citation
@inproceedings{zhan_sigmod26,
title = {{SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index}},
author = {Zhan, Yirui and Nie, Wen and Gao, Jun},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749183},
url = {https://dl.acm.org/doi/10.1145/3749183},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,508 | Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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