Mining association rules in Internet survey data.

This thesis aims to explore the applicability of data mining to the discovery of unexpected patterns hidden in questionnaire data from a survey conducted in 2001 about Internet usage in Singapore and its social impact. In particular, the thesis aims to discover interesting associations among the va...

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Bibliographic Details
Main Author:	Tong, Khoon Heng.
Other Authors:	Khoo, Christopher Soo Guan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Library and information science::Libraries::Information retrieval and analysis
Online Access:	http://hdl.handle.net/10356/2021
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2021
record_format	dspace
spelling	sg-ntu-dr.10356-20212019-12-10T14:32:29Z Mining association rules in Internet survey data. Tong, Khoon Heng. Khoo, Christopher Soo Guan Wee Kim Wee School of Communication and Information DRNTU::Library and information science::Libraries::Information retrieval and analysis This thesis aims to explore the applicability of data mining to the discovery of unexpected patterns hidden in questionnaire data from a survey conducted in 2001 about Internet usage in Singapore and its social impact. In particular, the thesis aims to discover interesting associations among the various items in the data using the Apriori algorithm. Master of Science (Information Systems) 2008-09-10T08:38:20Z 2008-09-10T08:38:20Z 2004 2004 Thesis http://hdl.handle.net/10356/2021 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
topic	DRNTU::Library and information science::Libraries::Information retrieval and analysis
spellingShingle	DRNTU::Library and information science::Libraries::Information retrieval and analysis Tong, Khoon Heng. Mining association rules in Internet survey data.
description	This thesis aims to explore the applicability of data mining to the discovery of unexpected patterns hidden in questionnaire data from a survey conducted in 2001 about Internet usage in Singapore and its social impact. In particular, the thesis aims to discover interesting associations among the various items in the data using the Apriori algorithm.
author2	Khoo, Christopher Soo Guan
author_facet	Khoo, Christopher Soo Guan Tong, Khoon Heng.
format	Theses and Dissertations
author	Tong, Khoon Heng.
author_sort	Tong, Khoon Heng.
title	Mining association rules in Internet survey data.
title_short	Mining association rules in Internet survey data.
title_full	Mining association rules in Internet survey data.
title_fullStr	Mining association rules in Internet survey data.
title_full_unstemmed	Mining association rules in Internet survey data.
title_sort	mining association rules in internet survey data.
publishDate	2008
url	http://hdl.handle.net/10356/2021
_version_	1681042949549326336

Mining association rules in Internet survey data.

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