FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams |
| |
Authors: | Robert Bembenik Henryk Rybiński |
| |
Affiliation: | (1) Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland |
| |
Abstract: | The paper presents problems pertaining to spatial data mining. Based on the existing solutions a new method of knowledge extraction in the form of spatial association rules and collocations has been worked out and is proposed herein. Delaunay diagram is used for determining neighborhoods. Based on the neighborhood notion, spatial association rules and collocations are defined. A novel algorithm for finding spatial rules and collocations has been presented. The approach allows eliminating the parameters defining neighborhood of objects, thus avoiding multiple “test and trial” repetitions of the process of mining for various parameter values. The presented method has been implemented and tested. The results of the experiments have been discussed. |
| |
Keywords: | Knowledge extraction Spatial data mining Spatial association rules Collocation rules Delaunay diagram |
本文献已被 SpringerLink 等数据库收录! |