WIT Press


Web Mining Through The Online Analyst

Price

Free (open access)

Paper DOI

10.2495/DATA000001

Volume

25

Pages

12

Published

2000

Size

1,222 kb

Author(s)

A. Zanasi

Abstract

While the amount of data available to us through the Web and the intranets is increasing, our capacity of reading and analyzing this information remains constant. Search engines instead of reducing the problem augment it making more and more documents quickly available to us. Web mining is a new research area that tries to solve the information overload problem by exploiting recent advances in different fields of technology. Documents and web pages are a source of knowledge in an unstructured data format that can be decodified, analyzed and turned into actionable intelligence thanks to online analysis by text mining. In this paper an example of a real and operative application to competitive intelligence (CI) is given: the Online Analyst. The final objective of this application is to give to end users an intelligent agent to read and quickly analyze huge volumes of d

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