FIRAS: A Framework for Interval Range Search and Sampling
Summary: FIRAS unifies interval-overlap reporting and random sampling in linear space, achieving O(log n+k) search and O(log²n+s) sampling time. It also supports result-size estimation and interleaved updates, enabling adaptive full-result versus sample retrieval. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Daichi Amagata (Nagoya University; University of Osaka)
- 2. Panagiotis Simatis (University of Ioannina)
- 3. Panagiotis Bouros (Johannes Gutenberg University Mainz)
- 4. Nikos Mamoulis (Archimedes; Athena Research Center; University of Ioannina)
BibTeX Citation
@inproceedings{amagata_sigmod26,
title = {{FIRAS: A Framework for Interval Range Search and Sampling}},
author = {Amagata, Daichi and Simatis, Panagiotis and Bouros, Panagiotis and Mamoulis, Nikos},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802062},
url = {https://dl.acm.org/doi/10.1145/3802062},
year = {2026}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,378 | AITTI: Augmented Interval Tree for Temporal Indexing | 2027 | SIGMOD | 4.9605343e-05 |
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