PhD Qualifying Examination


"Spatial Data Mining: A Survey"

Mr. Hui Zhao


Abstract:

With the advancement of technology, it is now possible to collect huge
amounts of spatial data in many kinds of applications, such as mobile
computing, environmental science, traffic monitoring and so on. A lot of
research has been carried out on how to index and query the spatial
data. On the other hand, the need to extract the explicit or implicit rules,
detect the patterns and predict trends from spatial data is also increasing.
Spatial data mining is a combination of traditional relational databases
mining technology and spatial databases. However, due to the complexity
of the spatial data, the traditional mining methods can not be implemented
directly into spatial databases.  Clustering and co-location are major
research areas in spatial data mining. This survey explains them.


Date:     		Tuesday, 17 January 2006

Time:                   3:00p.m.-5:00p.m.

Venue:                  Room 2504
			lifts 25-26

Committee Members:      Dr. Dimitris Papadias (Supervisor)
			Dr. Wilfred Ng (Chairperson)
			Dr. Lei Chen
			Dr. Qian Zhang


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