Complex Event Recognition with Symbolic Register Transducers
Summary: Proposes Symbolic Register Transducers (SRT): a symbolic+register automaton with clear denotational semantics that can encode multi-event relational patterns for complex event recognition. Gives a declarative, compositional CER framework and empirical results claiming higher expressiveness and better performance than state-of-the-art systems. (summarized by gpt-5-mini on Feb 09 2026)
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| 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 |
| 1,418 | ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events | 2009 | SIGMOD | 0.00012089363 |
| 2,031 | On Complexity and Optimization of Expensive Queries in Complex Event Processing | 2014 | SIGMOD | 9.7377256e-05 |
| 3,815 | High-Performance Dynamic Pattern Matching over Disordered Streams | 2010 | VLDB | 6.7333316e-05 |
| 4,233 | What is "Next" in Event Processing? | 2007 | PODS | 6.3376015e-05 |
| 5,059 | High-Performance Row Pattern Recognition Using Joins | 2023 | VLDB | 5.7277656e-05 |
| 6,788 | Index-Accelerated Pattern Matching in Event Stores | 2021 | SIGMOD | 4.9252064e-05 |
| 7,695 | CORE: a Complex Event Recognition Engine | 2022 | VLDB | 4.6757592e-05 |
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