Support-ordered trie for accelerating association rule mining, web usage mining and clustering
In this work, authors have critically analyzed existing data structures used in association rule mining, an important and popular data mining technique.
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/2532 |
_version_ | 1826115542366289920 |
---|---|
author | Woon, David Yew Kwong |
author2 | Ng Wee Keong |
author_facet | Ng Wee Keong Woon, David Yew Kwong |
author_sort | Woon, David Yew Kwong |
collection | NTU |
description | In this work, authors have critically analyzed existing data structures used in association rule mining, an important and popular data mining technique. |
first_indexed | 2024-10-01T03:57:13Z |
format | Thesis |
id | ntu-10356/2532 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T03:57:13Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/25322023-03-04T00:37:32Z Support-ordered trie for accelerating association rule mining, web usage mining and clustering Woon, David Yew Kwong Ng Wee Keong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation In this work, authors have critically analyzed existing data structures used in association rule mining, an important and popular data mining technique. DOCTOR OF PHILOSOPHY(SCE) 2008-09-17T09:04:51Z 2008-09-17T09:04:51Z 2005 2005 Thesis Woon, D. Y. K. (2005). Support-ordered trie for accelerating association rule mining, web usage mining and clustering. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2532 10.32657/10356/2532 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation Woon, David Yew Kwong Support-ordered trie for accelerating association rule mining, web usage mining and clustering |
title | Support-ordered trie for accelerating association rule mining, web usage mining and clustering |
title_full | Support-ordered trie for accelerating association rule mining, web usage mining and clustering |
title_fullStr | Support-ordered trie for accelerating association rule mining, web usage mining and clustering |
title_full_unstemmed | Support-ordered trie for accelerating association rule mining, web usage mining and clustering |
title_short | Support-ordered trie for accelerating association rule mining, web usage mining and clustering |
title_sort | support ordered trie for accelerating association rule mining web usage mining and clustering |
topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation |
url | https://hdl.handle.net/10356/2532 |
work_keys_str_mv | AT woondavidyewkwong supportorderedtrieforacceleratingassociationruleminingwebusageminingandclustering |