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 …

Urban big data fusion based on deep learning: An overview

J Liu, T Li, P Xie, S Du, F Teng, X Yang - Information Fusion, 2020 - Elsevier
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 …

Internet of Things mobile–air pollution monitoring system (IoT-Mobair)

S Dhingra, RB Madda, AH Gandomi… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is a worldwide system of “smart devices” that can sense and connect
with their surroundings and interact with users and other systems. Global air pollution is one …

Urban computing: concepts, methodologies, and applications

Y Zheng, L Capra, O Wolfson, H Yang - ACM Transactions on Intelligent …, 2014 - dl.acm.org
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 …

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 …

[图书][B] Smart sustainable cities of the future

SE Bibri - 2018 - Springer
It is a profoundly erroneous truism… that we should cultivate the habit of thinking what we
are doing. The precise opposite is the case. Civilization advances by extending the number …

Promises and challenges of big data computing in health sciences

T Huang, L Lan, X Fang, P An, J Min, F Wang - Big Data Research, 2015 - Elsevier
With the development of smart devices and cloud computing, more and more public health
data can be collected from various sources and can be analyzed in an unprecedented way …

ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts

SE Bibri, J Krogstie - Sustainable cities and society, 2017 - Elsevier
Undoubtedly, sustainable development has inspired a generation of scholars and
practitioners in different disciplines into a quest for the immense opportunities created by the …

Inferring air quality for station location recommendation based on urban big data

HP Hsieh, SD Lin, Y Zheng - Proceedings of the 21th ACM SIGKDD …, 2015 - dl.acm.org
This paper tries to answer two questions. First, how to infer real-time air quality of any
arbitrary location given environmental data and historical air quality data from very sparse …

The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis

SE Bibri, J Krogstie - Journal of Big Data, 2017 - Springer
Data sensing, information processing, and networking technologies are being fast
embedded into the very fabric of the contemporary city to enable the use of innovative …