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书目名称Big Data影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185571<br><br> <br><br>书目名称Big Data读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185571<br><br> <br><br>公式 发表于 2025-3-21 20:28:29
1865-0929 022. .The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data..978-981-19-8330-6978-981-19-8331-3Series ISSN 1865-0929 Series E-ISSN 1865-0937投票 发表于 2025-3-22 02:48:17
http://reply.papertrans.cn/19/1856/185571/185571_3.png直觉没有 发表于 2025-3-22 08:25:46
Jörg-Uwe Nieland,Dagmar Hoffmannory matching tasks, shape-based trajectory search (STS) aims to find all trajectories that are similar in shape to the query trajectory, which may be judged to be dissimilar based on their coordinates. STS can be useful in various real world applications, such as geography discovery, animal migratio郊外 发表于 2025-3-22 12:21:32
Rationalitätsverlust durch Intimisierung?n intuitive way to show how they understand and control semantics. In order to identify interpretable directions in GAN’s latent space, both supervised and unsupervised approaches have been proposed. But the supervised methods can only find the directions consistent with the supervised conditions. H拱墙 发表于 2025-3-22 13:12:18
Patrik Ettinger,Mark Eisenegger,Roger BlumN) is an adaptive neighbor concept for solving this problem, which combines k-nearest neighbors and reverse k-nearest neighbors to adaptively obtain . value. It has been proven effective in clustering analysis, classification and outlier detection. However, the existing algorithms for searching NaN深陷 发表于 2025-3-22 20:41:40
Jörg-Uwe Nieland,Dagmar Hoffmannuyers to solve. To address this problem, we propose a knowledge graph convolutional network with user history and item entity augmentation for auto parts recommendation system. First, the knowledge graph of auto parts and the knowledge graph of users to find a set of node examples. Second, collect c翻动 发表于 2025-3-22 21:16:15
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http://reply.papertrans.cn/19/1856/185571/185571_9.png仇恨 发表于 2025-3-23 07:00:44
Intimität in pädagogischen Beziehungench facilitates the use of KGs in downstream applications. However, most existing models ignore the semantic correlations among similar entities and relations. Indeed, we find there exist semantically similarities in entities or relations. To take advantage of these semantic correlations, we utilize