Trajectory data mining: an overview
Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
Urban big data fusion based on deep learning: An overview
Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …
In recent years, various models and algorithms based on deep learning have been …
[PDF][PDF] HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction.
The widely use of positioning technology has made mining the movements of people
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach
Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …
challenges of urban studies. In addition, exploring the relationship between urban functional …
Classifying urban land use by integrating remote sensing and social media data
Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …
policy-making, and population activity monitoring. However, the accurate classification of …
Methodologies for cross-domain data fusion: An overview
Y Zheng - IEEE transactions on big data, 2015 - ieeexplore.ieee.org
Traditional data mining usually deals with data from a single domain. In the big data era, we
face a diversity of datasets from different sources in different domains. These datasets …
face a diversity of datasets from different sources in different domains. These datasets …
A survey on trajectory data mining: Techniques and applications
Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …
which track the traces of moving objects. A trajectory is typically represented by a sequence …
Learning effective road network representation with hierarchical graph neural networks
Road network is the core component of urban transportation, and it is widely useful in
various traffic-related systems and applications. Due to its important role, it is essential to …
various traffic-related systems and applications. Due to its important role, it is essential to …
Personalized travel sequence recommendation on multi-source big social media
Big data increasingly benefit both research and industrial area such as health care, finance
service and commercial recommendation. This paper presents a personalized travel …
service and commercial recommendation. This paper presents a personalized travel …
Towards automated urban planning: When generative and chatgpt-like ai meets urban planning
The two fields of urban planning and artificial intelligence (AI) arose and developed
separately. However, there is now cross-pollination and increasing interest in both fields to …
separately. However, there is now cross-pollination and increasing interest in both fields to …