Results 21 to 30 of about 1,361,788 (289)
Trajectory-Differential Privacy-Protection Method with Interest Region
Jisuanji kexue yu tansuo, 2020 Trajectory data privacy protection method is a hot topic in data privacy protection research field. Most of existing trajectory data privacy protection methods adopt the strategy of adding noise to all locations, which reduces the availability of data ...
LAN Wei, LIN Ying, BAO Lingyan, LI Tong, CHEN Mengrong, SHAN Jinzhao
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A Grid-Based Approach for Measuring Similarities of Taxi Trajectories
Sensors, 2020 Similarity measurement is one of the key tasks in spatial data analysis. It has a great impact on applications i.e., position prediction, mining and analysis of social behavior pattern.
Wei Jiao, Hongchao Fan, Terje Midtbø
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Analyzing Spatiotemporal Daily Travel Source Carbon Emissions Based on Taxi Trajectory Data
IEEE Access, 2021 Analyzing the spatial-temporal distribution of travel carbon emissions will help government departments to develop effective policies and strategies for carbon emission management.
Maopeng Sun +4 more
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IEEE Access, 2023 Trajectory data generated in location-based service environments contain highly sensitive personal information, making them a prime target for privacy attacks.
Yeji Song +4 more
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Lclean: A Plausible Approach to Individual Trajectory Data Sanitization
IEEE Access, 2018 In recent years, with the continuous development of significant data industrialization, trajectory data have more and more critical analytical value for urban construction and environmental monitoring.
Qilong Han +4 more
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Discovering private trajectories using background information [PDF]
, 2009 Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques.
Kaplan, Emre +5 more
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SHNN-CAD+: An Improvement on SHNN-CAD for Adaptive Online Trajectory Anomaly Detection
Sensors, 2018 To perform anomaly detection for trajectory data, we study the Sequential Hausdorff Nearest-Neighbor Conformal Anomaly Detector (SHNN-CAD) approach, and propose an enhanced version called SHNN-CAD + . SHNN-CAD was introduced based on the theory of
Yuejun Guo, Anton Bardera
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Remote Sensing, 2020 Grazing intensity (GI) is an important indicator for grazing situations in pastoral areas. However, it has been difficult to be observed directly in the field, due to the randomness and dynamics of the grazing behavior of livestock.
Guangbin Lei +9 more
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CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data
IEEE Access, 2023 Big data classification is a challenging task because most known classification methods need a long time and a lot of processing resources to execute such a task and use the vast amount of available data.
Ahmad S. Tarawneh +4 more
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Design and Application of an Attractiveness Index for Urban Hotspots Based on GPS Trajectory Data
IEEE Access, 2018 Urban hotspots refer to regions where flourishing shopping centers are located, the travel volume is very large, and there is high traffic. The formation of hotspots is strongly correlated with many features, i.e., time, space, and the distribution of ...
Li Cai, Fang Jiang, Wei Zhou, Keqin Li
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