清楚明确 发表于 2025-3-21 17:28:37
书目名称Combinatorial Optimization and Applications影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0229976<br><br> <br><br>书目名称Combinatorial Optimization and Applications读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0229976<br><br> <br><br>ACRID 发表于 2025-3-22 00:13:58
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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. Thpalliate 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 daATP861 发表于 2025-3-23 08:40:32
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