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Titlebook: Web and Big Data; 7th International Jo Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 2024 The Editor(s) (if applicable) and The

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樓主: 爆發(fā)
31#
發(fā)表于 2025-3-26 21:04:35 | 只看該作者
32#
發(fā)表于 2025-3-27 03:45:03 | 只看該作者
Qiao Meng,Xinli Li,Yu’an Zhang,Junyi Huangfudarauf hinweisen, da? diese Gelenke den Schlüssel zur Wirbels?ulenbeteiligung bei den zu besprechenden Krankheiten darstellen. Auch lie?e sich ein Gro?teil der bisher erschienenen Publikationen nicht verwerten, klammerte man die Iliosakralgelenke aus.
33#
發(fā)表于 2025-3-27 07:44:46 | 只看該作者
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發(fā)表于 2025-3-27 13:29:04 | 只看該作者
35#
發(fā)表于 2025-3-27 16:49:31 | 只看該作者
36#
發(fā)表于 2025-3-27 19:04:21 | 只看該作者
,Design of?Data Management System for?Sustainable Development of?Urban Agglomerations’ Ecological Enheir logical integration. Leveraging the data lake architecture, we have achieved semantic-level data governance driven by relational associations and proposed a data management solution for heterogeneous datasets for the unified management of terabyte-scale datasets. In addition, we have conducted
37#
發(fā)表于 2025-3-28 01:02:14 | 只看該作者
,Computing Maximal Likelihood Subset Repair for?Inconsistent Data, formalize the maximum likelihood subset repair problem and analyze the hardness. Then we propose a correctness probability model, together with a scalable inference approach. Finally, an efficient approximate algorithm is proposed to compute the maximum likelihood subset repair. Extensive experimen
38#
發(fā)表于 2025-3-28 05:50:48 | 只看該作者
,P-QALSH+: Exploiting Multiple Cores to?Parallelize Query-Aware Locality-Sensitive Hashing on?Big Da fully accelerate the index construction. Then, we follow P-QALSH to exploit a novel K-Counter Parallel Counting Technology and a novel Search Radius Estimation Strategy to improve the query performance. Using six real-world datasets and eight synthetic datasets, we have performed extensive experime
39#
發(fā)表于 2025-3-28 07:57:38 | 只看該作者
,Design of?Data Management System for?Sustainable Development of?Urban Agglomerations’ Ecological Enheir logical integration. Leveraging the data lake architecture, we have achieved semantic-level data governance driven by relational associations and proposed a data management solution for heterogeneous datasets for the unified management of terabyte-scale datasets. In addition, we have conducted
40#
發(fā)表于 2025-3-28 13:09:53 | 只看該作者
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