Visualization-Oriented Progressive Time Series Transformation

Summary: PIVOT incrementally computes visualization-ready point-wise transformations over multivariate time series by selectively transforming only essential samples and leveraging cached hierarchical summaries. A pixel-based error bound estimates intermediate visual accuracy without a reference, enabling latency–fidelity tradeoffs and order-of-magnitude speedups on billion-scale datasets. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID: 7627
Venue: SIGMOD
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,415 | 28.55%
DOI: 10.1145/3769841

Incoming Non-self Citations Over Time

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Authors

1. Xin Chen (Renmin University of China)
2. Lingyu Zhang (Shandong University)
3. Huaiwei Bao (Shandong University)
4. Wei Lu (Renmin University of China)
5. Eugene Wu (Columbia University)
6. Xiaohui Yu (York University)
7. Yunhai Wang (Renmin University of China)

BibTeX Citation

@inproceedings{chen_sigmod26,
        title = {{Visualization-Oriented Progressive Time Series Transformation}},
        author = {Chen, Xin and Zhang, Lingyu and Bao, Huaiwei and Lu, Wei and Wu, Eugene and Yu, Xiaohui and Wang, Yunhai},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769841},
        url = {https://dl.acm.org/doi/10.1145/3769841},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
103	DuckDB: an Embeddable Analytical Database	2019	SIGMOD	0.00034161428
1,472	M4: A Visualization-Oriented Time Series Data Aggregation	2014	VLDB	0.00010668946
1,634	Rapid Sampling for Visualizations with Ordering Guarantees	2015	VLDB	0.00010163938
1,962	Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee	2016	SIGMOD	9.3978414e-05
3,269	ALP: Adaptive Lossless floating-Point Compression	2023	SIGMOD	7.5809516e-05
3,288	I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making	2017	VLDB	7.5578177e-05
3,595	Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees	2020	VLDB	7.2736195e-05
4,212	Data Series Progressive Similarity Search with Probabilistic Quality Guarantees	2020	SIGMOD	6.8283344e-05
6,007	OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series	2023	SIGMOD	6.0114933e-05
6,180	Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees	2024	VLDB	5.949572e-05
8,409	Time Series Representation for Visualization in Apache IoTDB	2024	SIGMOD	5.4311904e-05

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