Results 261 to 270 of about 1,061,883 (288)

Sketch-based uncertain trajectories clustering

2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Uncertain trajectories data present new challenges to trajectories data mining. This paper proposes a sketch-based trajectory clustering algorithm for uncertain trajectories. Based on the M-level Hilbert curve spatial partitioning, a candidate segments set is constructed to represent uncertain trajectories model precisely.
Jingyu Chen, Qiuyan Huo, Ping Chen, Xuezhou Xu   +3 more
openaire   +2 more sources

Clustering network-constrained uncertain trajectories

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Low sampling-rate and uncertain features of trajectory data present new challenges to trajectories data mining. This paper proposed a relationship graph-based trajectory clustering algorithm for objects moving on road networks. By constructing an approximate minimum spanning tree of a trajectory, based on the spatial distance of candidate segments, a ...
Jingyu Chen, Ping Chen, Qiuyan Huo, Xuezhou Xu   +3 more
openaire   +2 more sources

Learning deep representation for trajectory clustering

Expert Systems, 2018
Abstract Trajectory clustering, which aims at discovering groups of similar trajectories, has long been considered as a corner stone task for revealing movement patterns as well as facilitating higher level applications such as location prediction and activity recognition.
Di Yao 0001, Chao Zhang 0014, Zhihua Zhu, Qin Hu 0001, Zheng Wang 0040, Jian-Hui Huang, Jingping Bi   +6 more
openaire   +2 more sources

TRUSTER: TRajectory Data Processing on ClUSTERs

2009
With the continued advancements in location-based services involved infrastructures, large amount of time-based location data are quickly accumulated. Distributed processing techniques on such large trajectory data sets are urgently needed. We propose TRUSTER: a distributed trajectory data processing system on clusters.
Bin Yang 0002, Qiang Ma 0003, Weining Qian, Aoying Zhou   +3 more
openaire   +1 more source

Clustering and aggregating clues of trajectories for mining trajectory patterns and routes

The VLDB Journal, 2011
In this paper, we propose a new trajectory pattern mining framework, namely Clustering and Aggregating Clues of Trajectories (CACT), for discovering trajectory routes that represent the frequent movement behaviors of a user. In addition to spatial and temporal biases, we observe that trajectories contain silent durations, i.e., the time durations when ...
Chih-Chieh Hung, Wen-Chih Peng, Wang-Chien Lee   +2 more
openaire   +2 more sources

Clustering Algorithm for Network Constraint Trajectories

2008
Spatial data mining is an active topic in spatial databases. This paper proposes a new clustering method for moving object trajectories databases. It applies specifically to trajectories that only lie on a predefined network. The proposed algorithm (NETSCAN) is inspired from the well-known density based algorithms.
Ahmed Kharrat, Iulian Sandu Popa, Karine Zeitouni, Sami Faïz   +3 more
openaire   +1 more source

Exploratory Trajectory Clustering with Distance Geometry

2016
We present here an example of how a large, multi-dimensional unstructured data set, namely aircraft trajectories over the United States, can be analyzed using relatively straightforward unsupervised learning techniques. We begin by adding a rough structure to the trajectory data using the notion of distance geometry.
Andrew T. Wilson, Mark D. Rintoul, Christopher G. Valicka   +2 more
openaire   +2 more sources

Behavioral Segmentation and clustering of Geospatial Trajectories

2023 ML/DL Workshop - Albuquerque, New Mexico, United States of America - July - 2023, 2023
Jessica L. Jones, Andrew T. Wilson, Renee Gooding, Daniel DeLayo, Keith Dalbey, Jon Whetzel, Nitin Sharan   +6 more
openaire   +2 more sources

Trajectory Clustering via Effective Partitioning

2009
The increasing availability of huge amounts of data pertaining to time and positions generated by different sources using a wide variety of technologies (e.g., RFID tags, GPS, GSM networks) leads to large spatial data collections. Mining such amounts of data is challenging, since the possibility to extract useful information from this peculiar kind of ...
openaire   +5 more sources

Maritime Traffic Flow Clustering Analysis by Density Based Trajectory Clustering With Noise

Ocean Engineering, 2022
Chengtao Ji, Jiaxuan Yang, Yuan Liu
exaly