A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns
Author:
Affiliation:
1. School of Information Science and Engineering, Yunnan University, Kunming, China
2. School of Information Science and Engineering and Dianchi College, Yunnan University, Kunming, China
Funder
National Natural Science Foundation of China
Innovative Research Team of Yunnan Province
Yunnan Fundamental Research Projects
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/69/10629652/10478565.pdf?arnumber=10478565
Reference30 articles.
1. Discovering Spatial Co-location Patterns: A Summary of Results
2. A clique-based approach for co-location pattern mining
3. A co-location pattern-mining algorithm with a density-weighted distance thresholding consideration
4. Efficiently mining maximal co-locations in a spatial continuous field under directed road networks
5. Zonal Co-location Pattern Discovery with Dynamic Parameters
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