Mining complex relationships in the SDSS SkyServer spatial database

Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 28th Annual International Computer Software and Applications Conference; Workshop Papers and Fast Abstracts, COMPSAC 2004
Pages142-145
Number of pages4
DOIs
StatePublished - 2004
Externally publishedYes
EventProceedings of the 28th Annual International Computer Software and Applications Conference; Workshop Papers and Fast Abstracts, COMPSAC 2004 - Hong Kong, China, Hong Kong
Duration: Sep 28 2004Sep 30 2004

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume2
ISSN (Print)0730-3157

Conference

ConferenceProceedings of the 28th Annual International Computer Software and Applications Conference; Workshop Papers and Fast Abstracts, COMPSAC 2004
Country/TerritoryHong Kong
CityHong Kong, China
Period09/28/0409/30/04

Cite this