Database Paper Browser

Back to papers

Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging

Summary: Sim-Piece clusters similar PLA line segments to jointly encode them, minimizing group count to compact the PLA description and improve the space-vs-error tradeoff. Lightweight merging adds little overhead and yields >2x average compression vs prior PLA, enabling much higher accuracy at the same space. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13046
Venue
VLDB
Year
2023
Pagerank
6.0379315e-05
Overall Rank
4,628 | 67.81%
DOI
10.14778/3594512.3594521

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
3,416 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 7.1196234e-05
5,999 Time Series Data Mining: A Unifying View 2023 VLDB 5.2415551e-05
9,149 Serf: Streaming Error-Bounded Floating-Point Compression 2025 SIGMOD 4.3849295e-05
9,915 Camel: Efficient Compression of Floating-Point Time Series 2024 SIGMOD 4.2561557e-05
10,380 Largest Triangle Sampling for Visualizing Time Series in Database 2025 SIGMOD 4.1945683e-05
10,674 Improving Time Series Data Compression in Apache IoTDB 2025 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers