High-Performance Complex Event Processing over XML Streams
Summary: XSeq extends XPath with sequential and Kleene-* operators for XML-stream CEP. Leveraging visibly pushdown automata to preserve efficiency, it adds optimization techniques and demonstrates two orders of magnitude speedups over general XML engines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Barzan Mozafari (University of California Los Angeles)
- 2. Kai Zeng (University of California Los Angeles)
- 3. Carlo Zaniolo (University of California Los Angeles)
BibTeX Citation
@inproceedings{mozafari_sigmod12,
title = {{High-Performance Complex Event Processing over XML Streams}},
author = {Mozafari, Barzan and Zeng, Kai and Zaniolo, Carlo},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213866},
url = {https://dl.acm.org/doi/10.1145/2213836.2213866},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,547 | On Complexity and Optimization of Expensive Queries in Complex Event Processing | 2014 | SIGMOD | 0.00010394989 |
| 2,868 | SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics | 2017 | CIDR | 8.0156936e-05 |
| 6,204 | Complete Event Trend Detection in High-Rate Event Streams | 2017 | SIGMOD | 5.9444229e-05 |
| 6,861 | An Efficient Publish/Subscribe Index for E-Commerce Databases | 2014 | VLDB | 5.7517379e-05 |
| 8,322 | Event Trend Aggregation Under Rich Event Matching Semantics | 2019 | SIGMOD | 5.4540698e-05 |
| 8,337 | History is a mirror to the future: Best-effort approximate complex event matching with insufficient resources | 2017 | VLDB | 5.4511087e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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