Algorithm 531: Contour Plotting [J6]
ACM Transactions on Mathematical Software (TOMS)
MONIC: modeling and monitoring cluster transitions
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Cluster Evolution and Interpretation via Penalties
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
On supervised density estimation techniques and their application to spatial data mining
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
A polygon-based methodology for mining related spatial datasets
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Correspondence clustering: an approach to cluster multiple related spatial datasets
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A Framework for Discriminative Polygonal Place Scoping
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
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Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algorithms with supervised density estimation techniques. The methodology allows users to define their own criteria for features of interest and to identify changes in those features between two datasets. Change analysis is performed by comparing interesting regions that have been derived using contour clustering. A novel clustering algorithm called DCONTOUR is introduced for this purpose that computes contour polygons that describe the boundary of a supervised density function at a given density threshold. Relationships between old and new data are analyzed relying on polygon operations. We evaluate our methodology in a case study that analyzes changes in earthquake patterns.