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"H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and ..."

Yaping Zhao et al. (2022)

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DOI: 10.48550/ARXIV.2208.12542

access: open

type: Informal or Other Publication

metadata version: 2023-09-30

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  - journals/corr/abs-2208-12542
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  - https://dblp.org/rec/journals/corr/abs-2208-12542
Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao:
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing. CoRR abs/2208.12542 (2022)

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