Mining taxonomy-aware colocations

Author:

Gupta Jayant1,Sharma Arun1

Affiliation:

1. University of Minnesota

Funder

National Science Foundation

Publisher

ACM

Reference27 articles.

1. 2022. Taxonomy-aware colocation mining. https://anonymous.4open.science/r/generalized_colocation-F105/ 2022. Taxonomy-aware colocation mining. https://anonymous.4open.science/r/generalized_colocation-F105/

2. R. Agrawal , R. Srikant , 1994 . Fast algorithms for mining association rules . In Proc. 20th int. conf. very large data bases, VLDB , Vol. 1215 . Citeseer, 487--499. R. Agrawal, R. Srikant, et al. 1994. Fast algorithms for mining association rules. In Proc. 20th int. conf. very large data bases, VLDB, Vol. 1215. Citeseer, 487--499.

3. Discovering Interesting Co-location Patterns Interactively Using Ontologies

4. Spatial interaction of tumor cells and regulatory T cells correlates with survival in non-small cell lung cancer

5. Mining statistically significant co-location and segregation patterns;Barua Sajib;IEEE TKDE,2013

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1. Towards Responsible Spatial Data Science and Geo-AI;Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing;2023-08-03

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