Publication Details

Web Mining Overview

KUNC, M. Web Mining Overview. Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 4. Brno: Vysoké učení technické v Brně, 2007. s. 391-395. ISBN: 80-214-3410-3.

English title

Web Mining Overview

Type

conference paper

Language

Czech

Authors

Kunc Michael, Ing.

Keywords

Web mining, hypertext, machine learning.

Abstract

Methods of Web data mining can be divided into three categories according to
a type of mined information and goals that particular categories set: Web content
mining, Web structure mining and Web usage mining. Web content mining is the
process of extracting useful information from the content of Web documents. Web
structure mining uses the hyperlink structure of the Web to yield useful
information, including definitive pages specification, hyperlinked communities
identification, Web pages categorization and Web site completeness evaluation.
Web usage mining is the application of data mining techniques to discover usage
patterns from Web data, in order to understand and better serve the needs of
Web-based applications. This paper is an overview of these techniques.

Published

2007

Pages

391–395

Proceedings

Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 4

Conference

Student EEICT 2007, Brno, CZ

ISBN

80-214-3410-3

Publisher

Vysoké učení technické v Brně

Place

Brno

BibTeX

@inproceedings{BUT25904,
  author="Michael {Kunc}",
  title="Web Mining Overview",
  booktitle="Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 4",
  year="2007",
  pages="391--395",
  publisher="Vysoké učení technické v Brně",
  address="Brno",
  isbn="80-214-3410-3"
}