What is it about?
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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Why is it important?
It provides co-location patterns in spatial data.
Perspectives
My co-author worked hard for this publication
Dr. Brijesh B. Mehta
College of Technology and Engineering
Read the Original
This page is a summary of: A Survey on Spatial Co-location Patterns Discovery from Spatial Datasets, International Journal of Computer Trends and Technology, January 2014, Seventh Sense Research Group Journals,
DOI: 10.14445/22312803/ijctt-v7p140.
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