Discovering Collocation Rules and Spatial Association Rules in Spatial Data with Extended Objects Using Delaunay Diagrams

摘要

The paper illustrates issues related to mining spatial association rules and collocations. In particular it presents a new method of mining spatial association rules and collocations in spatial data with extended objects using Delaunay diagrams. The method does not require previous knowledge of analyzed data nor specifying any space-related input parameters and is efficient in terms of execution times.