Understanding Social Inequality in Individual Perceived Exposures to Air Pollution in Residential and Visited Neighborhoods: A Study Using Association Rule Mining-Reference-Cited by-同舟云学术

Understanding Social Inequality in Individual Perceived Exposures to Air Pollution in Residential and Visited Neighborhoods: A Study Using Association Rule Mining

Published:2023-08-29 Issue:10 Volume:113 Page:2392-2416
ISSN:2469-4452
Container-title:Annals of the American Association of Geographers
language:en
Short-container-title:Annals of the American Association of Geographers

Author:

Cai Jiannan¹^ORCID,Kwan Mei-Po²^ORCID

Affiliation:

1. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, China

2. Department of Geography and Resource Management and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, China

Funder

Hong Kong Research Grants Council

Collaborative Research Fund

Research Committee on Research Sustainability of Major Research Grants Council Funding Scheme

Chinese University of Hong Kong

Research Grants Council of Hong Kong

Publisher

Informa UK Limited

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/24694452.2023.2236190

Reference62 articles.

1. Agrawal, R., and R. Srikant. 1994. Fast algorithms for mining association rules. In Proceedings of the 20th International Conference on Very Large Databases (VLDB), ed. J. B. Bocca, M. Jarke, and C. Zaniolo, 487–99. San Francisco: Morgan Kaufmann.

2. Environmental Inequality in Exposures to Airborne Particulate Matter Components in the United States

3. A systematic review of data mining and machine learning for air pollution epidemiology

4. Permutation methods

5. Analysis of variance versus randomization tests-a comparison

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