E-Matching: Event Processing over Noisy Sequences in Real Time
Summary: Real-time regex matching over noisy event sequences with a Markov-chain error model. Produces all matching paths for traceability, supports top-k path retrieval and negations, and validates with extensive real-data experiments. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Zheng Li
- 2. Tingjian Ge
- 3. Cindy X. Chen
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Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 776 | Efficient Pattern Matching over Event Streams | 2008 | SIGMOD | 0.00016799754 |
| 944 | Cayuga: A General Purpose Event Monitoring System | 2007 | CIDR | 0.00015141297 |
| 3,398 | Event Queries on Correlated Probabilistic Streams | 2008 | SIGMOD | 7.141911e-05 |
| 3,791 | Complex Event Detection at Wire Speed with FPGAs | 2010 | VLDB | 6.7624761e-05 |
| 7,418 | Uncertain Time-Series Similarity: Return to the Basics | 2012 | VLDB | 4.7354852e-05 |
| 8,306 | Online Windowed Subsequence Matching over Probabilistic Sequences | 2012 | SIGMOD | 4.5435639e-05 |
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