Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
On map-matching vehicle tracking data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Spatio-temporal data reduction with deterministic error bounds
The VLDB Journal — The International Journal on Very Large Data Bases
Sampling Trajectory Streams with Spatiotemporal Criteria
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Trajectory clustering: a partition-and-group framework
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Robust management of outliers in sensor network aggregate queries
MobiDE '07 Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access
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
A conceptual view on trajectories
Data & Knowledge Engineering
A clustering-based approach for discovering interesting places in trajectories
Proceedings of the 2008 ACM symposium on Applied computing
HERMES: aggregative LBS via a trajectory DB engine
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Discovery of convoys in trajectory databases
Proceedings of the VLDB Endowment
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Trajectory Compression under Network Constraints
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Building real-world trajectory warehouses
Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
TACO: tunable approximate computation of outliers in wireless sensor networks
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Mining periodic behaviors for moving objects
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
PAO: power-efficient attribution of outliers in wireless sensor networks
Proceedings of the Seventh International Workshop on Data Management for Sensor Networks
An algorithmic framework for segmenting trajectories based on spatio-temporal criteria
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Automatic construction and multi-level visualization of semantic trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Automatic construction and multi-level visualization of semantic trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
Proceedings of the 14th International Conference on Extending Database Technology
A hybrid model and computing platform for spatio-semantic trajectories
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
An adaptive approach for online segmentation of multi-dimensional mobile data
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
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
A review of urban computing for mobile phone traces: current methods, challenges and opportunities
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
On the Management and Analysis of Our LifeSteps
ACM SIGKDD Explorations Newsletter
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Location data generated from GPS equipped moving objects are typically collected as streams of spatiotemporal 〈x, y, t〉 points that when put together form corresponding trajectories. Most existing studies focus on building ad-hoc querying, analysis, as well as data mining techniques on formed trajectories. As a prior step, trajectory construction is evidently necessary for mobility data processing and understanding, including tasks like trajectory data cleaning, compression, and segmentation so as to identify semantic trajectory episodes like stops (e.g. while sitting and standing) and moves (while jogging, walking, driving etc). However, semantic trajectory construction methods in the current literature are typically based on offline procedures, which is not sufficient for real life trajectory applications that rely on timely delivery of computed trajectories to serve real-time query answers. Filling this gap, our paper proposes a platform, namely SeTraStream, for online semantic trajectory construction. Our framework is capable of providing real-time trajectory data cleaning, compression, segmentation over streaming movement data.