Design and development of a user interface for text mining

This project concerns the development of a user interface for mining text. It includes an experiment to evaluate the effectiveness of the design. The text mining technique used is partition (non-hierarchical) clustering. Developed at Kent Ridge Digital Labs (KRDL), this clustering system known as Mu...

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Bibliographic Details
Main Author:	Ng, Jamie Suat Ling.
Other Authors:	Lim, Kee Yong
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Industrial engineering::Information systems
Online Access:	http://hdl.handle.net/10356/6212
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-6212
record_format	dspace
spelling	sg-ntu-dr.10356-62122023-03-11T17:14:03Z Design and development of a user interface for text mining Ng, Jamie Suat Ling. Lim, Kee Yong School of Mechanical and Production Engineering DRNTU::Engineering::Industrial engineering::Information systems This project concerns the development of a user interface for mining text. It includes an experiment to evaluate the effectiveness of the design. The text mining technique used is partition (non-hierarchical) clustering. Developed at Kent Ridge Digital Labs (KRDL), this clustering system known as Multilingual Information Mining through Conceptual Clustering (MIMIC), is used to generate the clusters displayed in a two-dimensional map. Master of Science (Smart Product Design) 2008-09-17T11:09:26Z 2008-09-17T11:09:26Z 2003 2003 Thesis http://hdl.handle.net/10356/6212 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::Industrial engineering::Information systems
spellingShingle	DRNTU::Engineering::Industrial engineering::Information systems Ng, Jamie Suat Ling. Design and development of a user interface for text mining
description	This project concerns the development of a user interface for mining text. It includes an experiment to evaluate the effectiveness of the design. The text mining technique used is partition (non-hierarchical) clustering. Developed at Kent Ridge Digital Labs (KRDL), this clustering system known as Multilingual Information Mining through Conceptual Clustering (MIMIC), is used to generate the clusters displayed in a two-dimensional map.
author2	Lim, Kee Yong
author_facet	Lim, Kee Yong Ng, Jamie Suat Ling.
format	Theses and Dissertations
author	Ng, Jamie Suat Ling.
author_sort	Ng, Jamie Suat Ling.
title	Design and development of a user interface for text mining
title_short	Design and development of a user interface for text mining
title_full	Design and development of a user interface for text mining
title_fullStr	Design and development of a user interface for text mining
title_full_unstemmed	Design and development of a user interface for text mining
title_sort	design and development of a user interface for text mining
publishDate	2008
url	http://hdl.handle.net/10356/6212
_version_	1761781422793687040

Design and development of a user interface for text mining

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