Connectivity in Digital Pictures
Journal of the ACM (JACM)
Diagnosing network-wide traffic anomalies
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Robust and fast similarity search for moving object trajectories
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Periodicity Detection in Time Series Databases
IEEE Transactions on Knowledge and Data Engineering
Mining Frequent Spatio-Temporal Sequential Patterns
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
WARP: Time Warping for Periodicity Detection
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Trajectory clustering: a partition-and-group framework
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Sensitivity of PCA for traffic anomaly detection
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Discovery of Periodic Patterns in Spatiotemporal Sequences
IEEE Transactions on Knowledge and Data Engineering
Trajectory Outlier Detection: A Partition-and-Detect Framework
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Efficient anomaly monitoring over moving object trajectory streams
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Spatial-temporal causal modeling for climate change attribution
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Network anomaly detection based on Eigen equation compression
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Anomaly detection and spatio-temporal analysis of global climate system
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
GLS-SOD: a generalized local statistical approach for spatial outlier detection
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining periodic behaviors for moving objects
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
T-drive: driving directions based on taxi trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Collective traffic forecasting
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Unsupervised trajectory sampling
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Driving with knowledge from the physical world
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Spatio-temporal outlier detection in precipitation data
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
GPS trajectory feature extraction for driver risk profiling
Proceedings of the 2011 international workshop on Trajectory data mining and analysis
On mining anomalous patterns in road traffic streams
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Discovering regions of different functions in a city using human mobility and POIs
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining traffic incidents to forecast impact
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Coordinated clustering algorithms to support charging infrastructure design for electric vehicles
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Urban traffic modelling and prediction using large scale taxi GPS traces
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Adaptive collective routing using gaussian process dynamic congestion models
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
coRide: carpool service with a win-win fare model for large-scale taxicab networks
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Crowd sensing of traffic anomalies based on human mobility and social media
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
On detection of emerging anomalous traffic patterns using GPS data
Data & Knowledge Engineering
Challenges and Opportunities in Taxi Fleet Anomaly Detection
Proceedings of First International Workshop on Sensing and Big Data Mining
Fusing Traffic Sensor Data for Real-time Road Conditions
Proceedings of First International Workshop on Sensing and Big Data Mining
Sliding window based weighted maximal frequent pattern mining over data streams
Expert Systems with Applications: An International Journal
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
Mining maximal frequent patterns by considering weight conditions over data streams
Knowledge-Based Systems
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The detection of outliers in spatio-temporal traffic data is an important research problem in the data mining and knowledge discovery community. However to the best of our knowledge, the discovery of relationships, especially causal interactions, among detected traffic outliers has not been investigated before. In this paper we propose algorithms which construct outlier causality trees based on temporal and spatial properties of detected outliers. Frequent substructures of these causality trees reveal not only recurring interactions among spatio-temporal outliers, but potential flaws in the design of existing traffic networks. The effectiveness and strength of our algorithms are validated by experiments on a very large volume of real taxi trajectories in an urban road network.