A Survey on Spatial Co-location Patterns Discovery from Spatial Datasets
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© 2014 by IJCTT Journal|
|Volume-7 Number-3 |
|Year of Publication : 2014|
|Authors : Mr.Rushirajsinh L. Zala , Mr.Brijesh B. Mehta , Mr.Mahipalsinh R. Zala|
|DOI : 10.14445/22312803/IJCTT-V7P140|
Mr.Rushirajsinh L. Zala , Mr.Brijesh B. Mehta , Mr.Mahipalsinh R. Zala. Article: A Survey on Spatial Co-location Patterns Discovery from Spatial Datasets. International Journal of Computer Trends and Technology (IJCTT) 7(3):137-142, January 2014. Published by Seventh Sense Research Group.
Spatial data mining or Knowledge discovery in spatial database is the extraction of implicit knowledge, spatial relations and spatial patterns that are not explicitly stored in databases. Co-location patterns discovery is the process of finding the subsets of features that are frequently located together in the same geographic area. In this paper, we discuss the different approaches like Rule based approach, Join-less approach, Partial Join approach and Constraint neighborhood based approach for finding co-location patterns.
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Keywords-Co-location patterns, Constraint Neighborhood based approach, Join-less approach Partial join approach, Rule based approach.