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DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing
Summary: DLACEP fuses deep learning with CEP to prune candidate event sets and approximate pattern matches in streams. Empirical results show throughput gains up to 1,000× with minor loss in matches, enabling a scalable DL-CEP framework for pattern detection.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6450
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 4.4441194e-05
- Overall Rank
- 8,799 | 38.85%
- DOI
-
10.1145/3514221.3526136
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 259 |
High-Performance Complex Event Processing over Streams |
2006 |
SIGMOD |
0.00030155645 |
| 433 |
Flexible Time Management in Data Stream Systems |
2004 |
PODS |
0.00023336894 |
| 772 |
Efficient Pattern Matching over Event Streams |
2008 |
SIGMOD |
0.00016790632 |
| 1,141 |
Consistent Streaming Through Time: A Vision for Event Stream Processing |
2007 |
CIDR |
0.00013703749 |
| 1,417 |
ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events |
2009 |
SIGMOD |
0.00012084678 |
| 1,549 |
Out-of-Order Processing: A New Architecture for High-Performance Stream Systems |
2008 |
VLDB |
0.00011407374 |
| 2,029 |
On Complexity and Optimization of Expensive Queries in Complex Event Processing |
2014 |
SIGMOD |
9.7344839e-05 |
| 2,341 |
SASE: Complex Event Processing over Streams |
2007 |
CIDR |
9.0009661e-05 |
| 4,456 |
Real-Time Multi-Pattern Detection over Event Streams |
2019 |
SIGMOD |
6.1644341e-05 |
| 5,091 |
Join Query Optimization Techniques for Complex Event Processing Applications |
2018 |
VLDB |
5.7010894e-05 |
| 6,592 |
Complete Event Trend Detection in High-Rate Event Streams |
2017 |
SIGMOD |
4.9959015e-05 |
| 7,316 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
4.7594979e-05 |
| 8,347 |
History is a mirror to the future: Best-effort approximate complex event matching with insufficient resources |
2017 |
VLDB |
4.5354267e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 8,548 |
Active Complex Event Processing: Applications in Real-Time Health Care |
2010 |
VLDB |
4.4893996e-05 |
| 10,820 |
NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms |
2025 |
VLDB |
4.1905499e-05 |
| 6,269 |
DARLING: Data-Aware Load Shedding in Complex Event Processing Systems |
2022 |
VLDB |
5.1286118e-05 |
| 2,029 |
On Complexity and Optimization of Expensive Queries in Complex Event Processing |
2014 |
SIGMOD |
9.7344839e-05 |
| 5,091 |
Join Query Optimization Techniques for Complex Event Processing Applications |
2018 |
VLDB |
5.7010894e-05 |
| 6,069 |
IL-Miner: Instance-Level Discovery of Complex Event Patterns |
2017 |
VLDB |
5.2240157e-05 |
| 4,456 |
Real-Time Multi-Pattern Detection over Event Streams |
2019 |
SIGMOD |
6.1644341e-05 |
| 9,617 |
Complex Event Analytics: Online Aggregation of Stream Sequence Patterns |
2014 |
SIGMOD |
4.3135276e-05 |
| 8,347 |
History is a mirror to the future: Best-effort approximate complex event matching with insufficient resources |
2017 |
VLDB |
4.5354267e-05 |
| 7,316 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
4.7594979e-05 |