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PKDD
2007
Springer

Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach

14 years 5 months ago
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
Abstract. Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization and peculiarities of communities sharing socio-economic aspects in order to identify potentialities, needs and public intervention. Emerging patterns (EPs) are a special kind of pattern which contrast two classes. In this paper, we face the problem of extracting EPs from spatial data. At this aim, we resort to a multirelational approach in order to deal with the degree of complexity of discovering EPs from spatial data (i.e., (i) the spatial dimension implicitly defines spatial properties and relations, (ii) spatial phenomena are affected by autocorrelation). Experiments on real datasets are described.
Michelangelo Ceci, Annalisa Appice, Donato Malerba
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where PKDD
Authors Michelangelo Ceci, Annalisa Appice, Donato Malerba
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