Title :
Mining complex relationships in the SDSS SkyServer spatial database
Author :
Arunasalam, Bavani ; Chawla, Sanjay ; Sun, Pei ; Munro, Robert
Author_Institution :
Sch. of Inf. Technol., Sydney Univ., NSW, Australia
Abstract :
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.
Keywords :
astronomical catalogues; astronomy computing; data mining; entity-relationship modelling; feature extraction; visual databases; SDSS SkyServer spatial database; Sloan Digital Sky Survey database; complex relationship mining; data extraction; maximal participation index; multifeature co-location; multifeature exclusion; one-to many relationships; self-co-location; self-exclusion; Association rules; Computer applications; Data mining; Fires; Indexes; Information technology; Optimization methods; Software; Spatial databases; Sun;
Conference_Titel :
Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International
Print_ISBN :
0-7695-2209-2
DOI :
10.1109/CMPSAC.2004.1342697
