清楚明确 发表于 2025-3-21 17:28:37

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ACRID 发表于 2025-3-22 00:13:58

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织布机 发表于 2025-3-22 03:34:52

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aviator 发表于 2025-3-22 06:14:25

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Platelet 发表于 2025-3-22 10:28:28

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玷污 发表于 2025-3-22 14:47:44

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玷污 发表于 2025-3-22 17:46:05

https://doi.org/10.1007/978-3-031-59846-3ing. The first algorithm obtains a fixed size sample and computes the approximate skyline on the sample. The error of the first algorithm is relatively small in most cases, and is almost independent of the input relation size. The second algorithm returns an .-approximation for the exact skyline. Th

palliate 发表于 2025-3-23 00:01:24

Swati Chauhan,Ojaswini Bansal,Anshul Puriyaeach point and its nearest line is minimized. In this paper, we design a deterministic bi-criteria approximation algorithm that runs in . time and returns at most . lines such that the minimized distance is within 16.. Here . is the minimized distance in the optimal solution with . line centers for

致词 发表于 2025-3-23 02:12:36

Kazi Humayun Kabir,Md. Ayatullah Khans is challenging for two main reasons. First, querying on big data sources is costly and even impossible. Second, due to the uneven data quality and overlaps of data sources, querying low-quality sources may return unexpected errors. Thus, it is critical to study approximate query problems on big da

ATP861 发表于 2025-3-23 08:40:32

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查看完整版本: Titlebook: Combinatorial Optimization and Applications; 14th International C Weili Wu,Zhongnan Zhang Conference proceedings 2020 Springer Nature Switz