Guest editorial: Text and web mining

Text mining and web mining are two interrelated fields that have received a lot of attention in recent years. Text mining [1, 2] is concerned with the analysis of very large document collections and the extraction of hidden knowledge from text-based data. Web mining [3] refers to the analysis and mi...

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Main Authors: TAN, Ah-hwee, YU, Philip S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/sis_research/5227
https://ink.library.smu.edu.sg/context/sis_research/article/6230/viewcontent/Guest_Editorial__Text_and_Web_Mining.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-62302020-07-23T18:31:03Z Guest editorial: Text and web mining TAN, Ah-hwee YU, Philip S. Text mining and web mining are two interrelated fields that have received a lot of attention in recent years. Text mining [1, 2] is concerned with the analysis of very large document collections and the extraction of hidden knowledge from text-based data. Web mining [3] refers to the analysis and mining of all web-related data, including web content, hyperlink structure, and web access statistics. 2003-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5227 info:doi/10.1023/A:1023219803219 https://ink.library.smu.edu.sg/context/sis_research/article/6230/viewcontent/Guest_Editorial__Text_and_Web_Mining.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Data Storage Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Data Storage Systems
spellingShingle Databases and Information Systems
Data Storage Systems
TAN, Ah-hwee
YU, Philip S.
Guest editorial: Text and web mining
description Text mining and web mining are two interrelated fields that have received a lot of attention in recent years. Text mining [1, 2] is concerned with the analysis of very large document collections and the extraction of hidden knowledge from text-based data. Web mining [3] refers to the analysis and mining of all web-related data, including web content, hyperlink structure, and web access statistics.
format text
author TAN, Ah-hwee
YU, Philip S.
author_facet TAN, Ah-hwee
YU, Philip S.
author_sort TAN, Ah-hwee
title Guest editorial: Text and web mining
title_short Guest editorial: Text and web mining
title_full Guest editorial: Text and web mining
title_fullStr Guest editorial: Text and web mining
title_full_unstemmed Guest editorial: Text and web mining
title_sort guest editorial: text and web mining
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/sis_research/5227
https://ink.library.smu.edu.sg/context/sis_research/article/6230/viewcontent/Guest_Editorial__Text_and_Web_Mining.pdf
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