Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Network representation learning: A survey
With the widespread use of information technologies, information networks are becoming
increasingly popular to capture complex relationships across various disciplines, such as …
increasingly popular to capture complex relationships across various disciplines, such as …
Environmental benefits of bike sharing: A big data-based analysis
Bike sharing is a new form of transport and is becoming increasingly popular in cities around
the world. This study aims to quantitatively estimate the environmental benefits of bike …
the world. This study aims to quantitatively estimate the environmental benefits of bike …
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 …
A survey on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
Human mobility: Models and applications
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …
human movement, enabling scientists to quantitatively study individual and collective …
Diversified personalized recommendation optimization based on mobile data
B Cao, J Zhao, Z Lv, P Yang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
With the advent of the Internet of Things, especially the Internet of Vehicles, abundant
environmental and mobile data can be generated continuously. A personalized …
environmental and mobile data can be generated continuously. A personalized …
Data mining for the internet of things: literature review and challenges
The massive data generated by the Internet of Things (IoT) are considered of high business
value, and data mining algorithms can be applied to IoT to extract hidden information from …
value, and data mining algorithms can be applied to IoT to extract hidden information from …
Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions
In urban logistics, the last-mile delivery from the warehouse to the consumer's home has
become more and more challenging with the continuous growth of E-commerce. It requires …
become more and more challenging with the continuous growth of E-commerce. It requires …
Friendship and mobility: user movement in location-based social networks
Even though human movement and mobility patterns have a high degree of freedom and
variation, they also exhibit structural patterns due to geographic and social constraints …
variation, they also exhibit structural patterns due to geographic and social constraints …