Camel: Managing Data for Efficient Stream Learning

Summary: Camel enables efficient stream learning with two data-management primitives: coreset selection and a historical-data buffer. Coreset selection becomes submodular maximization with a bound; buffer uses quantile sketch to compress memory and reduce forgetting. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6351
Venue: SIGMOD
Year: 2022
Pagerank: 7.6271601e-05
Overall Rank: 3,221 | 77.91%
DOI: 10.1145/3514221.3517836

Incoming Non-self Citations Over Time

Authors

1. Yiming Li (Hong Kong University of Science and Technology)
2. Yanyan Shen (Shanghai Jiao Tong University)
3. Lei Chen (Hong Kong University of Science and Technology)

BibTeX Citation

@inproceedings{li_sigmod22,
        title = {{Camel: Managing Data for Efficient Stream Learning}},
        author = {Li, Yiming and Shen, Yanyan and Chen, Lei},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517836},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517836},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,261	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.9366952e-05
10,390	AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction	2026	SIGMOD	5.093636e-05
10,405	AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA	2026	SIGMOD	5.093636e-05
10,527	BRIEF: Bi-level Coreset Selection for Efficient Instruction Tuning in LLMs	2026	VLDB	5.093636e-05
10,861	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	5.093636e-05
11,159	PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation	2024	SIGMOD	5.093636e-05
11,251	QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models	2024	VLDB	5.093636e-05
11,411	FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning	2023	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
82	Space-Efficient Online Computation of Quantile Summaries	2001	SIGMOD	0.00036378991
2,455	DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees	2019	VLDB	8.5552968e-05
3,445	Sketching Linear Classifiers over Data Streams	2018	SIGMOD	7.4089141e-05
3,573	VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale	2020	SIGMOD	7.2977194e-05
4,083	SketchML: Accelerating Distributed Machine Learning with Data Sketches	2018	SIGMOD	6.9160949e-05
4,529	TencentRec: Real-time Stream Recommendation in Practice	2015	SIGMOD	6.6446748e-05
5,785	BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees	2019	SIGMOD	6.0892672e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	891	Adaptive Stream Resource Management Using Kalman Filters	2004	SIGMOD
2	1,170	QuickSel: Quick Selectivity Learning with Mixture Models	2020	SIGMOD
3	11,897	Distinct Sampling on Streaming Data with Near-Duplicates	2018	PODS
4	7,034	Optimizing Data Acquisition to Enhance Machine Learning Performance	2024	VLDB
5	2,716	Space- and Time-Efficient Deterministic Algorithms for Biased Quantiles over Data Streams	2006	PODS
6	11,065	Learned Cost Models for Query Optimization: From Batch to Streaming Systems	2025	VLDB
7	7,757	CAMAL: Optimizing LSM-trees via Active Learning	2024	SIGMOD
8	3,765	Quantiles over Data Streams: An Experimental Study	2013	SIGMOD
9	3,445	Sketching Linear Classifiers over Data Streams	2018	SIGMOD
10	8,635	Camel: Efficient Compression of Floating-Point Time Series	2024	SIGMOD