A Data Mining Query Language for Knowledge Discovery in a Geographical Information System

Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly stored in a spatial database. An important application of spatial data mining methods is the extraction of knowledge from a Geographic Information System (GIS). INGENS (INductive GEographic iNformation System) is a prototype GIS which integrates data mining tools to assist users in their task of topographic map interpretation. The spatial data mining process is aimed at a user who controls the parameters of the process by means of a query written in a mining query language. In this paper, we present SDMOQL (Spatial Data Mining Object Query Language), a spatial data mining query language used in INGENS, whose design is based on the standard OQL (Object Query Language). Currently, SDMOQL supports two data mining tasks: inducing classification rules and discovering association rules. For both tasks the language ...

• Type: Conference
• Year: 2004
• Where: CINQ
• Authors: Donato Malerba, Annalisa Appice, Michelangelo Ceci
• Keywords: CINQ 2004, Database, Mining Query Language, Query Language, Spatial Data Mining