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.

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Bibliographic Details
Main Author:	Woon, David Yew Kwong
Other Authors:	Ng Wee Keong
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation
Online Access:	https://hdl.handle.net/10356/2532
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2532
record_format	dspace
spelling	sg-ntu-dr.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
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation
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
description	In this work, authors have critically analyzed existing data structures used in association rule mining, an important and popular data mining technique.
author2	Ng Wee Keong
author_facet	Ng Wee Keong Woon, David Yew Kwong
format	Theses and Dissertations
author	Woon, David Yew Kwong
author_sort	Woon, David Yew Kwong
title	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_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_sort	support-ordered trie for accelerating association rule mining, web usage mining and clustering
publishDate	2008
url	https://hdl.handle.net/10356/2532
_version_	1759854351221784576

Support-ordered trie for accelerating association rule mining, web usage mining and clustering

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