Local Co-location Pattern Mining Based on Regional Embedding

Author:

Zeng Yumming,Wang Lizhen,Zhou Lihua,Chen Hongmei

Publisher

Springer Nature Singapore

Reference19 articles.

1. Lin, L., et al.: Application of spatiotemporal data mining in Marine gas hydrate resource evaluation. Mar. Geol. Front. 34(11), 41–45 (2018)

2. Yin, P., et al.: Geographic big data mining and recommendation technology based on topic characteristics. Geogr. Spatiotemporal Inf. 18(04), 41–44+6 (2020)

3. Wang, X., et al.: Spatio-temporal co-location congestion pattern mining and application in traffic data. Yunnan University (2019)

4. Mennis, J., Guo, D.: Spatial data mining and geographic knowledge discovery—an introduction. Comput. Environ. Urban Syst. 33(6), 403–408 (2009)

5. Mikolov, T., Chen, K., et al.: Efficient estimation of word representations in vector space. Comput. Sci. (2013)

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