dc.contributor.author |
Koh, Yun Sing |
en |
dc.contributor.author |
Pears, R |
en |
dc.contributor.author |
Dobbie, Gillian |
en |
dc.contributor.editor |
Huang, JZ |
en |
dc.contributor.editor |
Cao, L |
en |
dc.contributor.editor |
Srivastava, J |
en |
dc.coverage.spatial |
Shenzhen, China |
en |
dc.date.accessioned |
2012-04-10T22:09:02Z |
en |
dc.date.issued |
2011 |
en |
dc.identifier.citation |
Lecture Notes in Computer Science Volume 6634. Springer-Verlag. 6634: 387-398. 2011 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/16903 |
en |
dc.description.abstract |
Research in Weighted Association Rule Mining (WARM) has largely concentrated on mining traditional static transactional datasets. Whilst there have been a few attempts at researching WARM in a data stream environment, none have addressed the problem of assigning and adapting weights in the presence of concept drift, which often occurs in a data stream environment. In this research we experiment with two methods of adapting weights; firstly, a simplistic method that recomputes the entire set of weights at fixed intervals, and secondly a method that relies on a distance function that assesses the extent of change in the stream and only updates those items that have had significant change in their patterns of interaction. We show that the latter method is able to maintain good accuracy whilst being several times faster than the former. |
en |
dc.description.uri |
http://www.pubzone.org/pages/publications/showVenue.do?venueId=42738 |
en |
dc.publisher |
Springer-Verlag |
en |
dc.relation.ispartof |
15th Pacific-Asia Conference Knowledge Discovery and Data Mining, PAKDD 2011 |
en |
dc.relation.ispartofseries |
Lecture Notes in Computer Science Volume 6634 |
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. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Automatic Assignment of Item Weights for Pattern Mining on Data Streams |
en |
dc.type |
Conference Item |
en |
dc.identifier.doi |
10.1007/978-3-642-20841-6_32 |
en |
pubs.begin-page |
387 |
en |
pubs.volume |
6634 |
en |
dc.rights.holder |
Copyright: Springer-Verlag |
en |
pubs.author-url |
http://www.springerlink.com/content/u22657002t775111/ |
en |
pubs.end-page |
398 |
en |
pubs.finish-date |
2011-05-27 |
en |
pubs.start-date |
2011-05-24 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Proceedings |
en |
pubs.elements-id |
236729 |
en |
pubs.org-id |
Science |
en |
pubs.org-id |
School of Computer Science |
en |
pubs.record-created-at-source-date |
2011-11-01 |
en |