Author(s): Dr. S. Anitha Reddy, Dr. P. Avinash
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. 3 - Issue 9 (September - 2014)
Huge amount of spatiality data is being collected in various applications like remote sensing, information systems, computer cryptotography, geographical information system (GIS), environmental assessment and planning, etc. Now the real challenge is holding attention in presently, and previously unknown information from this large database. This is what the objective of spatiality data mining. The real work is to extend the scope of data mining from logical and transactional database to spatiality database and apply it in the study of spatiality distribution. The paper summarizes the work that has been done so far in spatiality data mining from spatiality data generalization, mining spatiality association rule to spatiality data clustering
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