NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms
Summary: NeuroFlinkCEP unifies neural simple-event detection with symbolic complex-event recognition, compiling extended regular expressions into per-device FlinkCEP jobs. Its IoT optimizer places operators across the network for efficient in-network execution. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Ourania Ntouni (Technical University of Crete)
- 2. Dimitrios Banelas (Technical University of Crete)
- 3. Nikos Giatrakos (Technical University of Crete)
BibTeX Citation
@article{ntouni_vldb25,
title = {{NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms}},
author = {Ntouni, Ourania and Banelas, Dimitrios and Giatrakos, Nikos},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5355--5358},
doi = {10.14778/3750601.3750670},
url = {https://doi.org/10.14778/3750601.3750670},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,222 | DimWeaver: Dimensional Weaved Trajectory Compression | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,513 | Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies | 2024 | VLDB | 6.6509008e-05 |
| 12,040 | FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms | 2016 | SIGMOD | 5.093636e-05 |
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