Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data-Reference-Cited by-同舟云学术

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Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data

Published:2021-01 Issue: Volume:85 Page:101551
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Liu Xinyi,Huang Qunying,Gao Song,Xia Jizhe

Funder

office of the Vice Chancellor for Research

Wisconsin Alumni Research Foundation

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modelling,Geography, Planning and Development

Reference66 articles.

1. Assessment of the accuracy of GeoNames gazetteer data;Ahlers,2013

2. Towards semantic trajectory knowledge discovery;Alvares,2007

3. OPTICS: ordering points to identify the clustering structure;Ankerst,1999

4. Towards activity recognition in moving object trajectories from twitter data;Aurelio Beber,2016

5. DBSCAN: A density-based spatial clustering of application with noise;Bäcklund,2011

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1. Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China;Travel Behaviour and Society;2025-01

2. Research on Resident Behavioral Activities Based on Social Media Data: A Case Study of Four Typical Communities in Beijing;Information;2024-07-05

3. CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches;International Journal of Geographical Information Science;2023-10-09

4. Reconstructing human activities via coupling mobile phone data with location-based social networks;Travel Behaviour and Society;2023-10

5. A Deep Transfer Learning Toponym Extraction and Geospatial Clustering Framework for Investigating Scenic Spots as Cognitive Regions;ISPRS International Journal of Geo-Information;2023-05-12

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