Feature bagging for outlier detection
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Angle-based outlier detection in high-dimensional data
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Computing Surveys (CSUR)
Spatial outlier detection in heterogeneous neighborhoods
Intelligent Data Analysis
Discovering novelty in spatio/temporal data using one-class support vector machines
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Spatial neighborhood based anomaly detection in sensor datasets
Data Mining and Knowledge Discovery
Fourier transform based spatial outlier mining
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
On community outliers and their efficient detection in information networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Spatial outlier detection: random walk based approaches
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Reverse k-Nearest Neighbor monitoring on mobile objects
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Discovering spatio-temporal causal interactions in traffic data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
RKOF: robust kernel-based local outlier detection
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Spatial outlier detection: data, algorithms, visualizations
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Spatiotemporal neighborhood discovery for sensor data
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
A minimum spanning tree-inspired clustering-based outlier detection technique
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Mining irregularities in maritime container itineraries
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Enhancing minimum spanning tree-based clustering by removing density-based outliers
Digital Signal Processing
Classification and outlier detection based on topic based pattern synthesis
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Data Mining and Knowledge Discovery
Review: A review of novelty detection
Signal Processing
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
Data Mining and Knowledge Discovery
| Hi-index | 0.00 |
We propose a measure, Spatial Local Outlier Measure (SLOM) which captures the local behaviour of datum in their spatial neighborhood. With the help of SLOM we are able to discern local spatial outliers which are usually missed by global techniques like "three standard deviations away from the mean". Furthermore the measure takes into account the local stability around a data point and supresses the reporting of outliers in highly unstable areas, where data is too heterogeneous and the notion of outliers is not meaningful. We prove several properties of SLOM and report experiments on synthetic and real data sets which show that our approach is novel and scalable to large data sets.