dc.contributor.author |
Chiang, R |
en |
dc.contributor.author |
Chua, Cecil |
en |
dc.contributor.author |
Lim, E |
en |
dc.date.accessioned |
2011-11-09T19:47:43Z |
en |
dc.date.issued |
2005 |
en |
dc.identifier.citation |
Data & Knowledge Engineering 53(3):311-337 2005 |
en |
dc.identifier.issn |
0169-023X |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/8865 |
en |
dc.description.abstract |
Very little research in knowledge discovery has studied how to incorporate statistical methods to automate linear correlation discovery (LCD). We present an automatic LCD methodology that adopts statistical measurement functions to discover correlations from databases attributes. Our methodology automatically pairs attribute groups having potential linear correlations, measures the linear correlation of each pair of attribute groups, and confirms the discovered correlation. The methodology is evaluated in two sets of experiments. The results demonstrate the methodology s ability to facilitate linear correlation discovery for databases with a large amount of data |
en |
dc.publisher |
Elsevier B.V. |
en |
dc.relation.ispartofseries |
Data & Knowledge Engineering |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0169-023X/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Linear Correlation Discovery in Databases: A Data Mining Approach |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1016/j.datak.2004.09.002 |
en |
pubs.issue |
3 |
en |
pubs.begin-page |
311 |
en |
pubs.volume |
53 |
en |
dc.rights.holder |
Copyright: Elsevier B.V. |
en |
pubs.end-page |
337 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
155539 |
en |
pubs.record-created-at-source-date |
2010-10-01 |
en |