Author(s): Siddhi Nath Rajan, Ashok K Sinha, J B Singh
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.1 - Issue 6 (August- 2012)
Large amount of spatial data is being collected in various applications like remote sensing, computer cartography, geographical information system (GIS), environmental assessment and planning, etc. Now the real challenge is to discover interesting, implicit, and previously unknown knowledge from this large database. This is what the objective of spatial data mining. The real work is to extend the scope of data mining from relational and transactional database to spatial database and apply it in the study of spatial distribution of epidemiology. The paper summarizes the work that has been done so far in spatial data mining from spatial data generalization, mining spatial association rule to spatial data clustering.
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