Applied multivariate statistical analysis
Applied multivariate statistical analysis
Computing depth contours of bivariate point clouds
Computational Statistics & Data Analysis - Special issue on classification
Detecting graph-based spatial outliers: algorithms and applications (a summary of results)
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
A Unified Approach to Detecting Spatial Outliers
Geoinformatica
Detecting graph-based spatial outliers
Intelligent Data Analysis
Camouflaged fraud detection in domains with complex relationships
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
SLOM: a new measure for local spatial outliers
Knowledge and Information Systems
Detecting and tracking regional outliers in meteorological data
Information Sciences: an International Journal
Localized Outlying and Boundary Data Detection in Sensor Networks
IEEE Transactions on Knowledge and Data Engineering
A parallel multi-scale region outlier mining algorithm for meteorological data
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
ACM Computing Surveys (CSUR)
Minimum spanning tree based spatial outlier mining and its applications
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
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
Inter-image outliers and their application to image classification
Pattern Recognition
Spatial outlier detection: random walk based approaches
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Outlier detection with two-stage area-descent method for linear regression
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Spatial outlier detection: data, algorithms, visualizations
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Quick spatial outliers detecting with random sampling
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Density-Based spatial outliers detecting
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Intelligent intrusion detection system using fuzzy rough set based C4.5 algorithm
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Data Mining and Knowledge Discovery
Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
Data Mining and Knowledge Discovery
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A spatial outlier is a spatially referenced object whosenon-spatial attribute values are significantly different fromthe values of its neighborhood. Identification of spatial outlierscan lead to the discovery of unexpected, interesting,and useful spatial patterns for further analysis. One drawbackof existing methods is that normal objects tend to befalsely detected as spatial outliers when their neighborhoodcontains true spatial outliers. In this paper, we proposea suite of spatial outlier detection algorithms to overcomethis disadvantage. We formulate the spatial outlier detectionproblem in a general way and design algorithms whichcan accurately detect spatial outliers. In addition, usinga real-world census data set, we demonstrate that our approachescan not only avoid detecting false spatial outliersbut also find true spatial outliers ignored by existing methods.