Results 261 to 270 of about 514,814 (311)

Trajectory Data Classification

ACM Transactions on Intelligent Systems and Technology, 2019
This article comprehensively surveys the development of trajectory data classification. Considering the critical role of trajectory data classification in modern intelligent systems for surveillance security, abnormal behavior detection, crowd behavior analysis, and traffic control, trajectory data classification has attracted growing attention ...
Jiang Bian 0006, Dayong Tian, Yuanyan Tang, Dacheng Tao   +3 more
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Trajectory Data Warehouses

2013
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel, Zimanyi, Esteban   +1 more
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Multiscale Visualization of Trajectory Data

2015 19th International Conference on Information Visualisation, 2015
This paper proposes a novel three-dimensional (3D) visualization tool for the trajectory analysis, helping users understand the trajectory data from different perspectives. The details of a single and a set trajectories are well covered in multiscale views by the four main linked windows, namely Traj View, Color Bar, Multi Property and Track Map.
Sheng Liang, Qing Xu 0002, Yuejun Guo 0001, Yang Fan   +3 more
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Sampling Big Trajectory Data

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
The increasing prevalence of sensors and mobile devices has led to an explosive increase of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query, as a fundamental functionality for measuring trajectory data, aims to retrieve the statistics of trajectories passing a user-specified spatio-temporal region.
Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang 0001, Zhi-Li Zhang   +7 more
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Querying Trajectory Data Warehouses

2009 First International Confernce on Advances in Databases, Knowledge, and Data Applications, 2009
With the fast development in mobile and communication technology, the need for moving object databases increases. Moving object databases constitute a major ingredient in many applications that are location sensitive. Traffic control, fleet management, m-commerce, and E-911 are among those emerging location based services (LBSs).
Hoda M. O. Mokhtar, Gihan Mahmoud
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Private Trajectory Data Publication for Trajectory Classification

2019
Trajectory classification (TC), i.e., predicting the class labels of moving objects based on their trajectories and other features, has many important real-world applications. Private trajectory data publication is to anonymize trajectory data, which can be released to the public or third parties.
Huaijie Zhu, Xiaochun Yang 0001, Bin Wang 0015, Leixia Wang, Wang-Chien Lee   +4 more
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Trajectory Data Pattern Mining

2014
In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns.
Masciari E, Shi Gao, Carlo Zaniolo
openaire   +4 more sources

The trajectory of linked data in late capitalism

Journal of Documentation, 2021
PurposeThe aim of this article is to analyze the trajectory of library linked data in light of the ideological machinations of late capitalism. This is accomplished in order to understand how and why its development currently occupies a place of contradiction and provide avenues for examining how this tension can be resolved.Design/methodology ...
Erik Radio, James Kalwara
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Path-based queries on trajectory data

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014
In traffic research, management, and planning a number of path-based analyses are heavily used, e.g., for computing turn-times, evaluating green waves, or studying traffic flow. These analyses require retrieving the trajectories that follow the full path being analyzed.
Benjamin B. Krogh, Nikos Pelekis, Yannis Theodoridis, Kristian Torp   +3 more
openaire   +2 more sources

Trajectory Data Compression

2021
Massive and redundant vehicle trajectory data are continuously sent to the data center via vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage, communication, and computation. Online trajectory compression becomes a promising way to alleviate these issues.
Chao Chen, Daqing Zhang, Yasha Wang, Hongyu Huang   +3 more
openaire   +1 more source