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Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees

Summary: MinMaxCache: in-memory adaptive min/max cache that reuses prior results and selects aggregation granularities to produce approximate multivariate series visualizations with provable error bounds. Delivers interactive latency and up to 10× speedups versus exact methods, no heavy preprocessing or extra storage, while bounding visual distortion. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13441
Venue
VLDB
Year
2024
Pagerank
5.1249171e-05
Overall Rank
6,296 | 56.21%
DOI
10.14778/3659437.3659460

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