Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data Mining and Knowledge Discovery
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Data Mining and Knowledge Discovery
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Learning, Mining, or Modeling? A Case Study from Paleocology
DS '98 Proceedings of the First International Conference on Discovery Science
Discovering Associations between Spatial Objects: An ILP Application
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Contrast mining from interesting subgroups
Bisociative Knowledge Discovery
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We explore the application of Spatial Data Mining, the partially automated search for hidden patterns in georeferenced databases, to the analysis of ecological data. A version of the subgroup mining algorithm is described that searches for deviation patterns directly in a spatial database, automatically incorporating spatial information stored in a GIS into the hypothesis space of a data mining search. We discuss results obtained on a multirelational biodiversity data set recorded in Niger. Vegetation records are georeferenced and associated with a set of environmental parameters. Further data provide information on climate, soil conditions, and location of spatial objects like rivers, streets and cities. The subgroup mining finds dependencies of a plant species on other species, on local parameters and non-local environmental parameters.