Samson, Grace and Lu, Joan (2013) An approach for Mining Complex Spatial Dataset. In: Proceedings of the 2013 International Conference on Information & Knowledge Engineering. IKE (2013). CSREA Press, Las Vegas Nevada, USA, pp. 129-135. ISBN 1-60132-251-8

Spatial data mining organizes by location what
is interesting as such, specific features of spatial data
mining (including observations that are not independent
and spatial autocorrelation among the features) that
preclude the use of general purpose data mining
algorithms poses a serious challenge in the task of
mining meaningful patterns from spatial systems. This
creates the complexity that characterises complex spatial
systems. Thus, the major challenge for a spatial data
miner in trying to build a general complex spatial model
would be; to be able to integrate the elements of these
complex systems in a way that is optimally effective in
any particular case. We have examined ways of creating
explicit spatial model that represents an application of
mining techniques capable of analysing data from a
complex spatial system and then producing information
that would be useful in various disciplines where spatial
data form the basis of general interest.

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