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Titlebook: Big Data; 10th CCF Conference, Tianrui Li,Rui Mao,Jie Hu Conference proceedings 2022 The Editor(s) (if applicable) and The Author(s), under

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Patrik Ettinger,Mark Eisenegger,Roger Blum can quickly obtain the natural neighbor eigenvalue (NaNE). To identify the remote objects, ASNN only searches the 1-nearest neighbor for each object with kd-tree, so its time complexity is reduced to . from ., and the local search strategy makes it run faster than the existing algorithms. To illust
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Rationalitätsverlust durch Intimisierung?l data can more effectively solve the difficulties of traditional mapping and identification. POI (Point of Interest) data, as a typical type of social data, can be used to identify urban functional regions. We apply the LDA topic model to the POI data, and propose a new urban functional region iden
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