Personal mobility pattern mining and anomaly detection in the GPS era-Reference-Cited by-同舟云学术

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Personal mobility pattern mining and anomaly detection in the GPS era

Published:2015-02-13 Issue:1 Volume:43 Page:55-67
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Shih Dong-Her,Shih Ming-Hung,Yen David C.,Hsu Jia-Hung

Funder

National Science Council, Taiwan,

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/15230406.2015.1010585

Reference39 articles.

1. Spatio-temporal similarity of network-constrained moving object trajectories using sequence alignment of travel locations

2. Mining association rules between sets of items in large databases

3. An event-based conceptual model for context-aware movement analysis

4. Forecasting the global burden of Alzheimer's disease

5. Finding long and similar parts of trajectories

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1. A Sequential Pattern Mining Based Approach to Adaptively Detect Anomalous Paths in Floating Vehicle Trajectories;IEEE Transactions on Intelligent Transportation Systems;2022-10

2. Early Detection of Suspicious Behaviors for Safe Residence from Movement Trajectory Data;ISPRS International Journal of Geo-Information;2022-09-03

3. A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining;Expert Systems with Applications;2022-06

4. Routine Pattern Discovery and Anomaly Detection in Individual Travel Behavior;Networks and Spatial Economics;2021-06-12

5. Identifying the Daily Activity Spaces of Older Adults Living in a High-Density Urban Area: A Study Using the Smartphone-Based Global Positioning System Trajectory in Shanghai;Sustainability;2021-04-29

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