Spatial associative classification: propositional vs structural approach

Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classification in multi-relational data mining setting to deal with spatial objects having different properties, which are modeled by as many data tables (relations) as the number of spatial object types (layers). Spatial classification is based on two alternative approaches: a propositional approach and a structural approach. The propositional approach uses spatial association rules to construct an attribute-value representation (propositionalisation) of spatial data and performs spatial classification according to well-known propositional classification methods. Since the attribute-value representation should capture relational properties of spatial data, multi-relational association rules are used in propositionalisation step. The structural approach resorts to an extension of na

• Type: Journal
• Year: 2006
• Where: JIIS
• Authors: Michelangelo Ceci, Annalisa Appice
• Keywords: JIIS 2006, Spatial, Spatial Associative Classification, Spatial Classification