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Camel: Efficient Compression of Floating-Point Time Series

Summary: Camel compresses floating-point time series by separating integer and fractional parts and selecting values that maximize compression, rather than XORing with the previous point. It also provides an index over compressed data for efficient querying and, across 22 public and 3 AliCloud industrial datasets, outperforms 11 lossless and 6 lossy baselines in compression ratio and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6976
Venue
SIGMOD
Year
2024
Pagerank
4.2561557e-05
Overall Rank
9,915 | 31.03%
DOI
10.1145/3698802

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,321 DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data 2026 VLDB 4.1945683e-05
10,674 Improving Time Series Data Compression in Apache IoTDB 2025 VLDB 4.1945683e-05
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