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Uncovering cabdrivers’ behavior patterns from their digital traces

Computers, environment and urban systems, 2010-11, Vol.34 (6), p.541-548

2010

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Integrated Spatio-temporal Data Mining for Forest Fire Prediction

Transactions in GIS, 2008-10, Vol.12 (5), p.591-611

2008

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Discovering frequent episodes and learning hidden Markov models: a formal connection

IEEE transactions on knowledge and data engineering, 2005-11, Vol.17 (11), p.1505-1517

2005

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Mining frequent temporal duration-based patterns on time interval sequential database

Information sciences, 2024-04, Vol.665, p.120421, Article 120421

2024

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Predictive mining of multi-temporal relations

Information and computation, 2024-12, Vol.301, p.105228, Article 105228

2024

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Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction

Data mining and knowledge discovery, 2011-01, Vol.22 (1-2), p.232-258

2011

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Classification-driven temporal discretization of multivariate time series

Data mining and knowledge discovery, 2015-07, Vol.29 (4), p.871-913

2015

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Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting

Knowledge-based systems, 2022-08, Vol.250, p.109054, Article 109054

2022

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Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach

IEEE transactions on emerging topics in computing, 2020-01, Vol.8 (1), p.148-158

2020

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Nationwide Behavior-Aware Coordinates Mining from Uncertain Delivery Events

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.1-18

2024

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Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map

Neurocomputing (Amsterdam), 2022-02, Vol.472, p.280-293

2022

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Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.1-15

2024

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AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction

Artificial intelligence, 2023-05, Vol.318, p.103899, Article 103899

2023

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Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.6164-6188

2022

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vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining

Expert systems with applications, 2021-04, Vol.168, p.114276, Article 114276

2021

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Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding

IEEE transactions on knowledge and data engineering, 2023, p.1-15

2023

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Predictive temporal patterns discovery

Expert systems with applications, 2023-09, Vol.226, p.119974, Article 119974

2023

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Towards hour-level crime prediction: A neural attentive framework with spatial–temporal-categorical fusion

Neurocomputing (Amsterdam), 2022-05, Vol.486, p.286-297

2022

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Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation

IEEE transactions on knowledge and data engineering, 2024-09, p.1-15

2024

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A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting

IEEE transactions on knowledge and data engineering, 2023-11, Vol.35 (11), p.1-14

2023

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Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network

Transportation research. Part C, Emerging technologies, 2023-08, Vol.153, p.104205, Article 104205

2023

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Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging

Knowledge-based systems, 2024-01, Vol.284, p.111325, Article 111325

2024

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Representation learning and Graph Convolutional Networks for short-term vehicle trajectory prediction

Physica A, 2024-03, Vol.637, p.129560, Article 129560

2024

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Trajectory-User Linking via Multi-Scale Graph Attention Network

Pattern recognition, 2025-02, Vol.158, p.110978, Article 110978

2025

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Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework

IEEE transactions on intelligent transportation systems, 2022-09, Vol.23 (9), p.16148-16160

2022

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Uncovering cabdrivers’ behavior patterns from their digital traces

Integrated Spatio-temporal Data Mining for Forest Fire Prediction

Discovering frequent episodes and learning hidden Markov models: a formal connection

Mining frequent temporal duration-based patterns on time interval sequential database

Predictive mining of multi-temporal relations

Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction

Classification-driven temporal discretization of multivariate time series

Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting

Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach

Nationwide Behavior-Aware Coordinates Mining from Uncertain Delivery Events

Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map

Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery

AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining

Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding

Predictive temporal patterns discovery

Towards hour-level crime prediction: A neural attentive framework with spatial–temporal-categorical fusion

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation

A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting

Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network

Inductive and adaptive graph convolution networks equipped with constraint task for spatial–temporal traffic data kriging

Representation learning and Graph Convolutional Networks for short-term vehicle trajectory prediction

Trajectory-User Linking via Multi-Scale Graph Attention Network

Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework

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