Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
Relational Data Mining
Constraint Databases
Propositionalisation and Aggregates
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
A progressive refinement approach to spatial data mining
A progressive refinement approach to spatial data mining
Top-Down Induction of Model Trees with Regression and Splitting Nodes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discovery of spatial association rules in geo-referenced census data: A relational mining approach
Intelligent Data Analysis
Spatial contextual classification and prediction models for mining geospatial data
IEEE Transactions on Multimedia
Relational mining in spatial domains: accomplishments and challenges
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Global and local spatial autocorrelation in predictive clustering trees
DS'11 Proceedings of the 14th international conference on Discovery science
Learning and transferring geographically weighted regression trees across time
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
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Mining regression models from spatial data is a fundamental task in Spatial Data Mining. We propose a method, namely Mrs-SMOTI, that takes advantage from a tight-integration with spatial databases and mines regression models in form of trees in order to partition the sample space. The method is characterized by three aspects. First, it is able to capture both spatially global and local effects of explanatory attributes. Second, explanatory attributes that influence the response attribute do not necessarily come from a single layer. Third, the consideration that geometrical representation and relative positioning of spatial objects with respect to a reference system implicitly define both spatial relationships and properties. An application to real-world spatial data is reported.