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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Bibliographic Details
Main Authors: TAN, Ah-hwee, YU, Philip S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
Subjects:
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
Language: English
Description
Summary: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.