An integrated system for semi-automated linear correlation discovery in databases.

Measures of association (e.g. x2i ^2) are useful in facilitating knowledge discovery in databases. However, to automate the measurement of associations in data sets, several problems must be resolved. These problems include: 1) selecting appropriate association measurement functions, 2) reconciling...

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Main Author:	Chua, Cecil Eng Huang.
Other Authors:	Lim, Ee Peng
Format:	Theses and Dissertations
Language:	English
Published:	2008
Subjects:	DRNTU::Business::Information technology
Online Access:	http://hdl.handle.net/10356/7198
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-7198
record_format	dspace
spelling	sg-ntu-dr.10356-71982024-01-12T10:29:07Z An integrated system for semi-automated linear correlation discovery in databases. Chua, Cecil Eng Huang. Lim, Ee Peng Nanyang Business School DRNTU::Business::Information technology Measures of association (e.g. x2i ^2) are useful in facilitating knowledge discovery in databases. However, to automate the measurement of associations in data sets, several problems must be resolved. These problems include: 1) selecting appropriate association measurement functions, 2) reconciling the results obtained from heterogeneous association measurement functions, 3) ensuring that threshold values for the measures of association are appropriate for discovering interesting associations, 4) validating discovered associations, and 5) integrating the statistics packages, DBMSs and data mining tools. Master of Business 2008-09-18T07:41:26Z 2008-09-18T07:41:26Z 2000 2000 Thesis http://hdl.handle.net/10356/7198 en Nanyang Technological University 124 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Business::Information technology
spellingShingle	DRNTU::Business::Information technology Chua, Cecil Eng Huang. An integrated system for semi-automated linear correlation discovery in databases.
description	Measures of association (e.g. x2i ^2) are useful in facilitating knowledge discovery in databases. However, to automate the measurement of associations in data sets, several problems must be resolved. These problems include: 1) selecting appropriate association measurement functions, 2) reconciling the results obtained from heterogeneous association measurement functions, 3) ensuring that threshold values for the measures of association are appropriate for discovering interesting associations, 4) validating discovered associations, and 5) integrating the statistics packages, DBMSs and data mining tools.
author2	Lim, Ee Peng
author_facet	Lim, Ee Peng Chua, Cecil Eng Huang.
format	Theses and Dissertations
author	Chua, Cecil Eng Huang.
author_sort	Chua, Cecil Eng Huang.
title	An integrated system for semi-automated linear correlation discovery in databases.
title_short	An integrated system for semi-automated linear correlation discovery in databases.
title_full	An integrated system for semi-automated linear correlation discovery in databases.
title_fullStr	An integrated system for semi-automated linear correlation discovery in databases.
title_full_unstemmed	An integrated system for semi-automated linear correlation discovery in databases.
title_sort	integrated system for semi-automated linear correlation discovery in databases.
publishDate	2008
url	http://hdl.handle.net/10356/7198
_version_	1789483173503041536

An integrated system for semi-automated linear correlation discovery in databases.

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