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

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書目名稱Combinatorial Optimization and Applications影響因子(影響力)




書目名稱Combinatorial Optimization and Applications影響因子(影響力)學(xué)科排名




書目名稱Combinatorial Optimization and Applications網(wǎng)絡(luò)公開度




書目名稱Combinatorial Optimization and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Combinatorial Optimization and Applications被引頻次




書目名稱Combinatorial Optimization and Applications被引頻次學(xué)科排名




書目名稱Combinatorial Optimization and Applications年度引用




書目名稱Combinatorial Optimization and Applications年度引用學(xué)科排名




書目名稱Combinatorial Optimization and Applications讀者反饋




書目名稱Combinatorial Optimization and Applications讀者反饋學(xué)科排名

ACRID

織布機(jī)

aviator

Platelet

玷污

玷污

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

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

致詞

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