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

Volume

2

fYear

2004

Firstpage

142

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International

ISSN

0730-3157

Print_ISBN

0-7695-2209-2

Type

conf

DOI

10.1109/CMPSAC.2004.1342697

Filename

1342697