Delaunay triangulation‐based spatial colocation pattern mining without distance thresholds-Reference-Cited by-同舟云学术

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Delaunay triangulation‐based spatial colocation pattern mining without distance thresholds

Published:2020-04-07 Issue:3 Volume:13 Page:282-304
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Tran Vanha¹^ORCID,Wang Lizhen¹

Affiliation:

1. School of Information Science and Engineering, The Department of Computer Science and EngineeringYunnan University Kunming Yunnan China

Funder

The National Natural Science Foundation of China

The Project of Innovative Research Team of Yunnan Province

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11457

Reference41 articles.

1. Spatial co-location pattern mining for location-based services in road networks

2. Local and global spatio-temporal entropy indices based on distance-ratios and co-occurrences distributions

3. Discovery of Co-evolving Spatial Event Sets

4. A generic regional spatio-temporal co-occurrence pattern mining model: a case study for air pollution

5. On discovering co-location patterns in datasets: a case study of pollutants and child cancers

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1. Revealing association rules within intricate ecosystems: A spatial co-location mining method based on Geo-Eco knowledge graph;International Journal of Applied Earth Observation and Geoinformation;2024-09

2. Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division;Data Science and Engineering;2024-08-29

3. A fast multi-level co-location pattern mining approach based on extended maximal cliques;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Mining significant local spatial association rules for multi-category point data;Heliyon;2024-02

5. Spatial Co-location Pattern Mining—A Survey of Recent Trends;Lecture Notes in Networks and Systems;2024

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