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| Received
04-Jun-2026 |
Accepted
- |
Published
04-Jun-2026 |
Abstract
Spatial Association Rule Mining (SAR) is an interesting
area of the spatial data mining which involves several steps
and complexity. We have introduced a two step algorithm
in which the first step concentrates on the optimization of
SAR using the Hybrid evolutionary algorithm which uses
Genetic algorithm and Ant Colony Optimization (ACO).
Since Association rule with multiple objectives can be
considered as the NP hard problem we are using the Multi
objective genetic algorithm and the ACO. The results are
appreciable when compared to the existing ones.
In the second step we try to cluster the generated
association rules and that can be used for the target group
segmentation. We have studied the Customer behaviour of
the mobile phone industry based on their location.
Keywords : SAR, MOGA, ACO, Clustering, Segmentation.
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