Publication Type
Journal Article
Version
publishedVersion
Publication Date
5-2003
Abstract
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.
Discipline
Databases and Information Systems | Data Storage Systems
Research Areas
Data Science and Engineering
Publication
Applied Intelligence
Volume
18
Issue
3
First Page
239
Last Page
241
ISSN
0924-669X
Identifier
10.1023/A:1023219803219
Publisher
Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
Citation
TAN, Ah-hwee and YU, Philip S..
Guest editorial: Text and web mining. (2003). Applied Intelligence. 18, (3), 239-241.
Available at: https://ink.library.smu.edu.sg/sis_research/5227
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1023/A:1023219803219