Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
A Spatiotemporal Model and Language for Moving Objects on Road Networks
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Modeling, Storing, and Mining Moving Object Databases
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
Modeling and querying moving objects in networks
The VLDB Journal — The International Journal on Very Large Data Bases
Time-focused clustering of trajectories of moving objects
Journal of Intelligent Information Systems
ST-DBSCAN: An algorithm for clustering spatial-temporal data
Data & Knowledge Engineering
Trajectory clustering: a partition-and-group framework
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A model for enriching trajectories with semantic geographical information
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Dynamic modeling of trajectory patterns using data mining and reverse engineering
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Mining Personally Important Places from GPS Tracks
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Visual cluster analysis of trajectory data with interactive Kohonen maps
Information Visualization
Context-aware taxi demand hotspots prediction
International Journal of Business Intelligence and Data Mining
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Preserving privacy in semantic-rich trajectories of human mobility
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS
A system for destination and future route prediction based on trajectory mining
Pervasive and Mobile Computing
A conceptual data model for trajectory data mining
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Regions of interest in trajectory data warehouse
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Event-based semantic visualization of trajectory data in urban city with a space-time cube
VIS '10 Proceedings of the 3rd WSEAS international conference on Visualization, imaging and simulation
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
Proceedings of the 14th International Conference on Extending Database Technology
C-safety: a framework for the anonymization of semantic trajectories
Transactions on Data Privacy
A unique property of single-link distance and its application in data clustering
Data & Knowledge Engineering
Mining spatial trajectories using non-parametric density functions
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
SeTraStream: semantic-aware trajectory construction over streaming movement data
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Travel time prediction using machine learning
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
User oriented trajectory similarity search
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Discovering personally semantic places from GPS trajectories
Proceedings of the 21st ACM international conference on Information and knowledge management
Extracting significant places from mobile user GPS trajectories: a bearing change based approach
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Algorithmic and visual analysis of spatiotemporal stops in movement data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Interpreting pedestrian behaviour by visualising and clustering movement data
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Warped K-Means: An algorithm to cluster sequentially-distributed data
Information Sciences: an International Journal
Semantic trajectories: Mobility data computation and annotation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
On the use of mobility data for discovery and description of social ties
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
Inferring human activities from GPS tracks
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Algorithms for hotspot computation on trajectory data
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Where have you been today? annotating trajectories with daytag
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
A Hybrid Grid-based Method for Mining Arbitrary Regions-of-Interest from Trajectories
Proceedings of Workshop on Machine Learning for Sensory Data Analysis
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
Short communication: Algorithm to determine ε-distance parameter in density based clustering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
Data Mining and Knowledge Discovery
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Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have focused on the geometric properties of trajectories, but recently emerged the concept of semantic trajectories, in which the background geographic information is integrated to trajectory sample points. In this new concept, trajectories are observed as a set of stops and moves, where stops are the most important parts of the trajectory. Stops and moves have been computed by testing the intersections of trajectories with a set of geographic objects given by the user. In this paper we present an alternative solution with the capability of finding interesting places that are not expected by the user. The proposed solution is a spatio-temporal clustering method, based on speed, to work with single trajectories. We compare the two different approaches with experiments on real data and show that the computation of stops using the concept of speed can be interesting for several applications.