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 …
Spatiotemporal data mining: A computational perspective
Explosive growth in geospatial and temporal data as well as the emergence of new
technologies emphasize the need for automated discovery of spatiotemporal knowledge …
technologies emphasize the need for automated discovery of spatiotemporal knowledge …
Crowd sensing of traffic anomalies based on human mobility and social media
The advances in mobile computing and social networking services enable people to probe
the dynamics of a city. In this paper, we address the problem of detecting and describing …
the dynamics of a city. In this paper, we address the problem of detecting and describing …
Prediction of urban human mobility using large-scale taxi traces and its applications
This paper investigates human mobility patterns in an urban taxi transportation system. This
work focuses on predicting humanmobility fromdiscovering patterns of in the number of …
work focuses on predicting humanmobility fromdiscovering patterns of in the number of …
From taxi GPS traces to social and community dynamics: A survey
Vehicles equipped with GPS localizers are an important sensory device for examining
people's movements and activities. Taxis equipped with GPS localizers serve the …
people's movements and activities. Taxis equipped with GPS localizers serve the …
Land-use classification using taxi GPS traces
Detailed land use, which is difficult to obtain, is an integral part of urban planning. Currently,
GPS traces of vehicles are becoming readily available. It conveys human mobility and …
GPS traces of vehicles are becoming readily available. It conveys human mobility and …
Inferring trip purposes and uncovering travel patterns from taxi trajectory data
Global positioning system-enabled vehicles provide an efficient way to obtain large
quantities of movement data for individuals. However, the raw data usually lack activity …
quantities of movement data for individuals. However, the raw data usually lack activity …
LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data
As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …
becomes possible and reliable, which makes it possible to mine useful and significant …
Hyperspectral anomaly detection with kernel isolation forest
In this article, a novel hyperspectral anomaly detection method with kernel Isolation Forest
(iForest) is proposed. The method is based on an assumption that anomalies rather than …
(iForest) is proposed. The method is based on an assumption that anomalies rather than …
Trace analysis and mining for smart cities: issues, methods, and applications
Traces of moving objects in a city, which depict lots of semantics concerning human mobility
and city dynamics, are becoming increasingly important. In this article, we first give a brief …
and city dynamics, are becoming increasingly important. In this article, we first give a brief …