loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04)
Mining Complex Relationships in the SDSS SkyServer Spatial Database
Hong Kong
September 28-September 30
ISBN: 0-7695-2209-2
Bavani Arunasalam, University of Sydney
Sanjay Chawla, University of Sydney
Pei Sun, University of Sydney
Robert Munro, University of Sydney
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.
Citation:
Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro, "Mining Complex Relationships in the SDSS SkyServer Spatial Database," compsac, vol. 2, pp.142-145, 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.