| dc.contributor.author | Zeng Xh | en_US |
| dc.contributor.author | Pei J | en_US |
| dc.contributor.author | Wang K | en_US |
| dc.contributor.author | Li Jinyan | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2012-02-02T10:23:46Z | |
| dc.date.available | 2012-02-02T10:23:46Z | |
| dc.date.issued | 2009 | en_US |
| dc.identifier | 2010006983 | en_US |
| dc.identifier.citation | Zeng Xh et al. 2009, 'PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining', Springer London Ltd, vol. 20, no. 3, pp. 375-391. | en_US |
| dc.identifier.issn | 0219-1377 | en_US |
| dc.identifier.other | C1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/15227 | |
| dc.description.abstract | While frequent pattern mining is fundamental for many data mining tasks, mining maximal frequent patterns efficiently is important in both theory and applications of frequent pattern mining. The fundamental challenge is how to search a large space of ite | en_US |
| dc.language | en_US | |
| dc.publisher | Springer London Ltd | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1007/s10115-008-0179-6 | en_US |
| dc.title | PADS: A simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining | en_US |
| dc.parent | Knowledge And Information Systems | en_US |
| dc.journal.volume | 20 | en_US |
| dc.journal.number | 3 | en_US |
| dc.publocation | Artington | en_US |
| dc.identifier.startpage | 375 | en_US |
| dc.identifier.endpage | 391 | en_US |
| dc.cauo.name | FEIT.Faculty of Engineering & Information Technology | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 080100 | en_US |
| dc.personcode | 0000072013;0000072014;0000072015;112261 | en_US |
| dc.percentage | 000100 | en_US |
| dc.classification.name | Artificial Intelligence and Image Processing | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | en_US | |
| dc.custom | en_US | |
| dc.date.activity | en_US | |
| dc.location.activity | en_US | |
| dc.description.keywords | DISCOVERY | en_US |
| dc.staffid | en_US |