Abstract
A variety of data mining techniques are under evaluation on the spatial data of concern in our setting. We are planning to integrate a number of these techniques into our geospatial system (GIDB). Three approaches are under special consideration and are described in the paper. A COTS data mining system has been successfully used to develop predictive models of near-shore conditions such as wave height for naval amphibious operations. Attribute generalization was applied to seafloor data to obtain statements about conditions relevant to mine warfare. Finally an extension of association rule discovery applied to fuzzy spatial data that is under development is discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal R, Imielinski T, and Swami A, 1993, Mining Association Rules between sets of items in large databases. In Proceedings of the 1993 ACM-SIGMOD International Conference on Management of Data. New York, NY, ACM Press:207–216.
Burrough P, and Frank A (eds.), 1996 Geographic Objects with Indeterminate Boundaries, GISDATA Series Vol. 2, London, UK, Taylor and Francis.
Chung M, Wilson R, Ladner R, Lovitt T, Cobb M, Abdelguerfi M, and Shaw K, 2001 TheGeospatial Information Distribution System (GIDS). In Chaudhri A and Zicari R (eds) Succeeding with Object Databases. New York, NY, Wiley and Sons:357–378.
M. Cobb, F. Petry and V. Robinson (2000), Special Issue: Uncertainty in Geographic Information Systems and Spatial Data, Fuzzy Sets and Systems, 113, #1.
Han J, and Kamber M 2000 Data Mining: Concepts and Techniques. San Diego, CA Academic Press.
Hand D, Mannila H, and Smyth P, 2001, Principles of Data Mining. Cambridge, MA, MIT Press.
Lu W, Han J, and Ooi B, 1993, Discovery of general knowledge in large spatial databases. In Proceedings of Far East Workshop Geographic Information Systems. Singapore, World Scientific Press: 275–289.
Vapnik V, 1995, The Nature of Statistical Learning Theory. Berlin, GDR, Springer-Verlag.
Yen J, and Langari R, 1999, Fuzzy Logic: Intelligence, Control and Information. Upper Saddle River, NJ, Prentice Hall.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ladner, R., Petry, F.E. (2002). Assessment of Spatial Data Mining Tools for Integration into an Object-Oriented GIS (GIDB). In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_12
Download citation
DOI: https://doi.org/10.1007/3-540-46146-9_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44126-7
Online ISBN: 978-3-540-46146-3
eBook Packages: Springer Book Archive