In this paper, we propose a multi-relational mining method to deal with it. We use a non-parametric way by using Vironoi-diagram based neighborhood, ...
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This paper uses a non-parametric way by using Vironoi-diagram based neighborhood, classification method is implemented to pre-process the rules condition, ...
In this paper, we propose a multi-relational mining method to deal with it. We use a non-parametric way by using Vironoi-diagram based neighborhood, ...
Feb 15, 2024 · An algorithm for mining local spatial association rules for point data of multiple categories based on position quotients is proposed.
The recently promoted (multi-) relational approach to data mining [2] looks for patterns that involve multiple relations of a relational database. Patterns ...
Mining Spatial Association Rules with Multi-relational Approach. https://doi.org/10.1007/978-3-642-17316-5_28 ·. Journal: Advanced Data Mining and ...
A formal set of additions to the multi-relational data mining framework is proposed, to be able to represent spatial aggregations as well as spatial features ...
The method is based on a multi-relational data mining approach and takes advantages of the representation and reasoning techniques developed in the field of ...
Based on the previous studies on spatial data mining and topological relations, we proposed and analyzed a method for mining strong spatial association rules in ...
We propose a distributed system, named ARES that takes advantage of the use of a multi-relational approach to mine spatial association rules. It supports ...