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 …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability
SE Bibri - Sustainable cities and society, 2018 - Elsevier
Abstract The Internet of Things (IoT) is one of the key components of the ICT infrastructure of
smart sustainable cities as an emerging urban development approach due to its great …
smart sustainable cities as an emerging urban development approach due to its great …
The emerging data–driven Smart City and its innovative applied solutions for sustainability: The cases of London and Barcelona
SE Bibri, J Krogstie - Energy Informatics, 2020 - Springer
The big data revolution is heralding an era where instrumentation, datafication, and
computation are increasingly pervading the very fabric of cities. Big data technologies have …
computation are increasingly pervading the very fabric of cities. Big data technologies have …
Parallel transportation systems: Toward IoT-enabled smart urban traffic control and management
IoT-driven intelligent transportation systems (ITS) have great potential and capacity to make
transportation systems efficient, safe, smart, reliable, and sustainable. The IoT provides the …
transportation systems efficient, safe, smart, reliable, and sustainable. The IoT provides the …
Forecasting fine-grained air quality based on big data
In this paper, we forecast the reading of an air quality monitoring station over the next 48
hours, using a data-driven method that considers current meteorological data, weather …
hours, using a data-driven method that considers current meteorological data, weather …
Traffic prediction in a bike-sharing system
Bike-sharing systems are widely deployed in many major cities, providing a convenient
transportation mode for citizens' commutes. As the rents/returns of bikes at different stations …
transportation mode for citizens' commutes. As the rents/returns of bikes at different stations …
Urban computing: concepts, methodologies, and applications
Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …
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 …