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An Evaluation of Methods of Compressing Doubles
Summary: Empirical comparison of double-precision compression methods across real-world data: time series, featurized ML data, and machine logs. Comparative focus on compression ratio and throughput, revealing dataset-driven tradeoffs for data-management workloads.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5847
- Venue
- SIGMOD
- Year
- 2020
- Pagerank
- 4.1945683e-05
- Overall Rank
- 11,574 | 19.49%
- DOI
-
10.1145/3318464.3384415
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