Mining Complex Relationships in the SDSS SkyServer Spatial Database

Authors:
Bavani Arunasalam;Sanjay Chawla;Pei Sun;Robert Munro
Affiliations:
University of Sydney;University of Sydney;University of Sydney;University of Sydney
Venue:
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - Volume 02
Year:
2004

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A language and a visual interface to specify complex spatial patterns

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

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Abstract

In this paper 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: multi-feature colocation, self-co-location, one-to many relationships, self-exclusion and multi-feature exclusion. We report our results of mining complex relationships in data extracted from the Sloan Digital Sky Survey (SDSS) database.