Data Mining V
Data Mining, Text Mining and their Business Applications
Edited By: A. ZANASI, TEMIS Text Mining Solutions S.A., Italy, N.F. F. EBECKEN, COPPE/UFRJ, Federal University of Rio de Janeiro, Brazil and C.A. Brebbia, Wessex Institute of Technology, UK
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Book Series Title
Management Information Systems
WIT Transactions on Information and Communication Technologies
This book features over 40 contributions from the Fifth International Conference on Data Mining, Text Mining and Their Business Applications. Sharing state-of-the-art results and practical development experiences, these allow researchers and developers from a variety of areas to learn about the many different applications of data mining and how the techniques can aid their own field.
Until recently data mining has been restricted to well-structured internal information and mining the web was an exercise in frustration. However, it is now possible to apply the same mining tools and techniques to the explosion of data sources found on billions of web pages, newsgroups, emails, chatlines, forums, and message boards. Data mining applied to text, ie. text mining, has therefore acquired much more importance and added prominence has therefore been given to it in these proceedings.
The other topics covered are: Web Mining; Techniques - Clustering, Categorization, Link Analysis, Data Preparation; Applications in Business, Industry and Government; Customer Relationship Management; Applications in Science and Engineering.