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Titlebook: Data Science; 6th International Co Pinle Qin,Hongzhi Wang,Zeguang Lu Conference proceedings 2020 Springer Nature Singapore Pte Ltd. 2020 ar

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Differential Privacy Trajectory Protection Method Based on Spatiotemporal Correlations lack the consideration of the correlation between the noise sequence, the user’s original trajectory sequence, and the published trajectory sequence. And they are susceptible to noise filtering attacks using filtering methods. In view of this problem, a differential privacy trajectory protection m
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Over-Smoothing Algorithm and Its Application to GCN Semi-supervised Classificationharacterization to converge to one or several values. In other words, nodes from different clusters become difficult to distinguish, as two different classes of nodes with closer topological distance are more likely to belong to the same class and vice versa. To alleviate this problem, an over-smoot
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Conference proceedings 2020Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020...The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural
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Usage of Cutting-Edge Technology: ECMOtention layer, we find some meaningful word features, however, its recognition performance is not good. Some possible reasons were analyzed and it was found that attention mechanism sometimes misjudges wrong word features, resulting from these wrong words often appearing at the same time with meaningful word features.
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Bo Van den Bulcke,Dominique Benoitrecommendation methods, time-based news recommendation methods, events-based news recommendation methods. It helps researchers to know the application of news features in news recommendation methods. Also, this suvery summarizes the challenges faced by the news recommendation system and the future research direction.
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Koeno Gravemeijer,Susanne Prediger. The experimental results show that it can implement online processing on newly collected data, and instantly stop to give the result when detecting credible leakage. The online leakage assessment can significantly economize on memory and time. It has good performance when there is limited memory or real-time evaluations are needed.
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