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Titlebook: Databases Theory and Applications; 31st Australasian Da Renata Borovica-Gajic,Jianzhong Qi,Weiqing Wang Conference proceedings 2020 Springe

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Coronaviruses and their Diseasestwo decades and, driven by the emerging applications, is still under development. There is a lack of categorisation of existing solutions recently and analysis for future research directions. In this paper, we review the current status of the map-matching problem and survey the existing algorithms.
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https://doi.org/10.1007/978-94-017-1179-1f graph analysis tasks including link prediction, node classification, recommendation and visualization. Most existing approaches represent graph nodes as point vectors in a low-dimensional embedding space, ignoring the uncertainty present in the real-world graphs. Furthermore, many real-world graph
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A. Balogh,J. T. Gosling,H. Kunowiring the location dimension while minimizing the gap between physical world and virtual social networking. This in return, has resulted in the generation of geo-tagged data at unprecedented scale and has facilitated users to fully capture and share their geo-locations with timestamps on social medi
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https://doi.org/10.1057/9780230355569to infer complex fashion compatibility patterns from a large number of fashion items. Previous work mainly utilises metric learning techniques to model the compatibility relationships, such that compatible items are closer to each other than incompatible ones in the latent space. However, they ignor
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Corpora and Translation Educationt works considered users’ topical activeness in detecting communities. However, not enough attention is paid to the degree of temporal topical interactions among the members in the retrieved communities. We propose a method to search temporal active intimate community in which community members are
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