Conference paper

KUNC Michael. Web Mining Overview. In: Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 4. Brno: Brno University of Technology, 2007, pp. 391-395. ISBN 80-214-3410-3.
Publication language:czech
Original title:Web Mining Overview
Title (en):Web Mining Overview
Proceedings:Proceedings of the 13th Conference STUDENT EEICT 2007 Volume 4
Conference:Student EEICT 2007
Place:Brno, CZ
Publisher:Brno University of Technology
Web mining, hypertext, machine learning.
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.
   author = {Michael Kunc},
   title = {Web Mining Overview},
   pages = {391--395},
   booktitle = {Proceedings of the 13th Conference STUDENT EEICT 2007 Volume
   year = {2007},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   ISBN = {80-214-3410-3},
   language = {czech},
   url = {}

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