S-OLAP: an OLAP System for Analyzing Sequence Data
Summary: S-OLAP is an OLAP system for sequence data, enabling pattern-based grouping and aggregation unavailable in traditional OLAP. It adds sequence-specific OLAP operators, tailored query processing, and a GUI for real-time exploratory analysis. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Chun Kit Chui (University of Hong Kong)
- 2. Ben Kao (University of Hong Kong)
- 3. Eric Lo (Hong Kong Polytechnic University)
- 4. David Cheung (University of Hong Kong)
BibTeX Citation
@inproceedings{chui_sigmod10,
title = {{S-OLAP: an OLAP System for Analyzing Sequence Data}},
author = {Chui, Chun Kit and Kao, Ben and Lo, Eric and Cheung, David},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807299},
url = {https://dl.acm.org/doi/10.1145/1807167.1807299},
year = {2010}
}Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,748 | OLAP on Sequence Data | 2008 | SIGMOD | 7.154573e-05 |
| 3,753 | High-Dimensional OLAP: A Minimal Cubing Approach | 2004 | VLDB | 7.1505817e-05 |
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