Wavelets: theory and applications
Wavelets: theory and applications
Computing depth contours of bivariate point clouds
Computational Statistics & Data Analysis - Special issue on classification
Efficient algorithms for mining outliers from large data sets
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Spatial databases with application to GIS
Spatial databases with application to GIS
Spatial Databases-Accomplishments and Research Needs
IEEE Transactions on Knowledge and Data Engineering
OPTICS-OF: Identifying Local Outliers
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Discovery of Spatial Association Rules in Geographic Information Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
A survey on wavelet applications in data mining
ACM SIGKDD Explorations Newsletter
Detecting graph-based spatial outliers
Intelligent Data Analysis
Wavelet fuzzy classification for detecting and tracking region outliers in meteorological data
Proceedings of the 12th annual ACM international workshop on Geographic information systems
High performance computing for spatial outliers detection using parallel wavelet transform
Intelligent Data Analysis
A comprehensive survey of numeric and symbolic outlier mining techniques
Intelligent Data Analysis
Parallel wavelet transform for spatio-temporal outlier detection in large meteorological data
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Fourier transform based spatial outlier mining
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Spatial outlier detection: random walk based approaches
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Modeling and prediction of moving region trajectories
Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
A fuzzy index for detecting spatiotemporal outliers
Geoinformatica
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Spatial outliers are the spatial objects with distinct features from their surrounding neighbors. Detection of spatial outliers helps reveal important and valuable information from large spatial data sets. In the field of meteorology, for example, spatial outliers can be associated with disastrous natural events such as tornadoes, hurricane, and forest fires. Previous study of spatial outlier mainly focuses on point data. However, in the meteorological data or other applications, spatial outliers are frequently represented in region, i.e., a group of points, with two dimensions or even three dimensions, and the previous point-based approaches may not be appropriate to be used. As region outliers are commonly multi-scale objects, wavelet analysis is an effective tool to study them. In this paper, we propose a wavelet analysis based approach to detect region outliers. We discuss the region outlier detection problem and design a suite of algorithms to effectively discover them. The algorithms were implemented and evaluated with a real-world meteorological data set.