P. Sun's research works | The University of Sydney and other places

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Mining complex relationships in the SDSS SkyServer spatial database

Conference Paper

October 2004

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10 Citations

We describe the process of mining complex relationships in spatial databases using the maximal participation index (maxPI), which has a property of discovering low support and high confidence rules. Complex relationships are defined as those involving two or more of: multifeature co-location, self-co-location, one-to many relationships, self-exclusion and multifeature exclusion. We report our results of mining complex relationships in data extracted from the Sloan Digital Sky Survey (SDSS) database.

... However, this approach is affected by the distribution of the data, or more precisely, the number of cut neighbor relations. Arunasalam, Chawla, Sun, and Munro (2004) achieved the mining of complex relationships in a bigger dataset. Subsequently, also presented an improved algorithm called "join-less," which inputs the neighbor relationships into a compressed star model. ...
Reference:
A fast space-saving algorithm for maximal co-location pattern mining

Mining complex relationships in the SDSS SkyServer spatial database

Citing Conference Paper
October 2004

P. Sun’s research while affiliated with The University of Sydney and other places

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