Please use this identifier to cite or link to this item:
|Title:||Support-ordered trie for accelerating association rule mining, web usage mining and clustering||Authors:||Woon, David Yew Kwong||Keywords:||DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation||Issue Date:||2005||Source:||Woon, D. Y. K. (2005). Support-ordered trie for accelerating association rule mining, web usage mining and clustering. Doctoral thesis, Nanyang Technological University, Singapore.||Abstract:||In this work, authors have critically analyzed existing data structures used in association rule mining, an important and popular data mining technique.||URI:||https://hdl.handle.net/10356/2532||DOI:||10.32657/10356/2532||Rights:||Nanyang Technological University||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Theses|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.