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Approximating Median Absolute Deviation with Bounded Error

Summary: Introduces OP-MAD, a fully mergeable, one-pass approximate MAD with (epsilon,1)-bounded error via a compact sketch. TP-MAD uses at most two passes with O(n + m log m) time and O(m) space, delivering large memory savings and Spark/Structured Streaming scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12390
Venue
VLDB
Year
2021
Pagerank
4.1945683e-05
Overall Rank
11,505 | 19.97%
DOI
10.14778/3476249.3476266

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
3,967 Apache IoTDB: A Time Series Database for IoT Applications 2023 SIGMOD 6.5796647e-05
9,237 Determining Exact Quantiles with Randomized Summaries 2024 SIGMOD 4.3690661e-05
10,198 Quantile Estimation with Duplicates 2026 SIGMOD 4.1945683e-05
10,388 Randomized Sketches for Quantile in LSM-tree based Store 2025 SIGMOD 4.1945683e-05
11,250 CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space 2023 VLDB 4.1945683e-05
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