Imminence Monitoring of Critical Events: A Representation Learning Approach

Summary: Imminence monitoring in heterogeneous data streams via representation learning. Learns probabilistic state-machine patterns over relational streams to predict event imminence, handling varied substreams and attributes; claims substantive gains over IL-Miner and LSTM baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6147
Venue: SIGMOD
Year: 2021
Pagerank: 5.9472916e-05
Overall Rank: 6,191 | 57.53%
DOI: 10.1145/3448016.3452804

Incoming Non-self Citations Over Time

Authors

1. Yan Li (University of Massachusetts Lowell)
2. Tingjian Ge (University of Massachusetts Lowell)

BibTeX Citation

@inproceedings{li_sigmod21,
        title = {{Imminence Monitoring of Critical Events: A Representation Learning Approach}},
        author = {Li, Yan and Ge, Tingjian},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452804},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452804},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,498	SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting	2023	VLDB	6.1972571e-05
10,664	DISCES: Systematic Discovery of Event Stream Queries	2025	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,252	Streaming Pattern Discovery in Multiple Time-Series	2005	VLDB	0.00011483752
5,988	Complex Event Recognition in the Big Data Era	2017	VLDB	6.0177874e-05
6,560	IL-Miner: Instance-Level Discovery of Complex Event Patterns	2017	VLDB	5.8393764e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	9,207	Behavior Query Discovery in System-Generated Temporal Graphs	2016	VLDB
2	9,311	Time2State: An Unsupervised Framework for Inferring the Latent States in Time Series Data	2023	SIGMOD
3	7,103	Efficient Adaptive Detection of Complex Event Patterns	2018	VLDB
4	9,252	An Algorithmic Approach to Event Summarization	2010	SIGMOD
5	4,842	Mining Relationships Among Interval-based Events for Classification	2008	SIGMOD
6	5,988	Complex Event Recognition in the Big Data Era	2017	VLDB
7	3,376	Robust and Transferable Log-based Anomaly Detection	2023	SIGMOD
8	5,776	Recognizing Patterns in Streams with Imprecise Timestamps	2010	VLDB
9	11,795	Data Stream Event Prediction Based on Timing Knowledge and State Transitions	2020	VLDB
10	6,560	IL-Miner: Instance-Level Discovery of Complex Event Patterns	2017	VLDB