Mining Relationships Among Interval-based Events for Classification
Summary: Lossless extension of Allen's interval algebra for durational events via a hierarchical representation. IEMiner mines interval-patterns with pruning techniques; IEClassifier uses them for accurate, scalable classification; validated on synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dhaval Patel (National University of Singapore)
- 2. Wynne Hsu (National University of Singapore)
- 3. Mong Li Lee (National University of Singapore)
BibTeX Citation
@inproceedings{patel_sigmod08,
title = {{Mining Relationships Among Interval-based Events for Classification}},
author = {Patel, Dhaval and Hsu, Wynne and Lee, Mong Li},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376658},
url = {https://dl.acm.org/doi/10.1145/1376616.1376658},
year = {2008}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,043 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 6.3886615e-05 |
| 6,560 | IL-Miner: Instance-Level Discovery of Complex Event Patterns | 2017 | VLDB | 5.8393764e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|
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