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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
- 6449
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 4.4430954e-05
- Overall Rank
- 8,816 | 38.67%
- 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 |
0.00030174924 |
| 432 |
Flexible Time Management in Data Stream Systems |
2004 |
PODS |
0.00023368424 |
| 776 |
Efficient Pattern Matching over Event Streams |
2008 |
SIGMOD |
0.00016799754 |
| 1,141 |
Consistent Streaming Through Time: A Vision for Event Stream Processing |
2007 |
CIDR |
0.00013717279 |
| 1,418 |
ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events |
2009 |
SIGMOD |
0.00012089363 |
| 1,551 |
Out-of-Order Processing: A New Architecture for High-Performance Stream Systems |
2008 |
VLDB |
0.00011416058 |
| 2,031 |
On Complexity and Optimization of Expensive Queries in Complex Event Processing |
2014 |
SIGMOD |
9.7377256e-05 |
| 2,340 |
SASE: Complex Event Processing over Streams |
2007 |
CIDR |
9.004232e-05 |
| 4,457 |
Real-Time Multi-Pattern Detection over Event Streams |
2019 |
SIGMOD |
6.1702339e-05 |
| 5,097 |
Join Query Optimization Techniques for Complex Event Processing Applications |
2018 |
VLDB |
5.7011496e-05 |
| 6,612 |
Complete Event Trend Detection in High-Rate Event Streams |
2017 |
SIGMOD |
4.9948556e-05 |
| 7,318 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
4.7638874e-05 |
| 8,351 |
History is a mirror to the future: Best-effort approximate complex event matching with insufficient resources |
2017 |
VLDB |
4.539516e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 8,551 |
Active Complex Event Processing: Applications in Real-Time Health Care |
2010 |
VLDB |
4.4937074e-05 |
| 10,815 |
NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms |
2025 |
VLDB |
4.1945683e-05 |
| 6,271 |
DARLING: Data-Aware Load Shedding in Complex Event Processing Systems |
2022 |
VLDB |
5.1335397e-05 |
| 2,031 |
On Complexity and Optimization of Expensive Queries in Complex Event Processing |
2014 |
SIGMOD |
9.7377256e-05 |
| 5,097 |
Join Query Optimization Techniques for Complex Event Processing Applications |
2018 |
VLDB |
5.7011496e-05 |
| 6,067 |
IL-Miner: Instance-Level Discovery of Complex Event Patterns |
2017 |
VLDB |
5.2290408e-05 |
| 4,457 |
Real-Time Multi-Pattern Detection over Event Streams |
2019 |
SIGMOD |
6.1702339e-05 |
| 9,617 |
Complex Event Analytics: Online Aggregation of Stream Sequence Patterns |
2014 |
SIGMOD |
4.3176634e-05 |
| 8,351 |
History is a mirror to the future: Best-effort approximate complex event matching with insufficient resources |
2017 |
VLDB |
4.539516e-05 |
| 7,318 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
4.7638874e-05 |