Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets Without Generating Candidates
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70819-0_15
Reference16 articles.
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3. Cai, J., Deng, M., Liu, Q., Chen, Y., He, Z., Tang, J.: A statistical method for detecting spatiotemporal co-occurrence patterns. Int. J. Geogr. Inf. Sci. 33(5), 967–990 (2019)
4. Chan, H.K.H., Long, C., Yan, D., Wong, R.C.W.: Fraction-score: a new support measure for co-location pattern mining. In: 2019 IEEE 35th International Conference on Data Engineering (ICDE), pp. 1514–1525. IEEE (2019)
5. Hu, Z., Wang, L., Tran, V., Chen, H.: Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. Inf. Sci. 592, 361–388 (2022)
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