Thesis Details

Web page segmentation utilizing clustering techniques

Ph.D. Thesis Student: Zelený Jan Academic Year: 2016/2017 Supervisor: Zendulka Jaroslav, doc. Ing., CSc.
Czech title
Segmentace webových stránek s využitím shlukovacích technik
Language
English
Abstract

Information extraction and other techniques for mining data from the Web get more important with the development of web technologies and raising amount of information stored exclusively on the Web. However, with this information, the amount of content that is completely irrelevant in context of the presented information grows as well. That's only one of the reasons why it is so important to intensively study and develop preprocessing of information stored on the Web. Segmentation algorithms are one of the possible ways of web page preprocessing. This thesis is dedicated to utilization of clustering techniques for improving the efficiency of existing web page segmentation algorithms, as well as finding completely new ones.

Keywords

web page preprocessing, document preprocessing, segmentation, clustering, template, VIPS

Department
Department of Information Systems FIT BUT
Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
Files
Status
defended
Date
23 June 2017
Citation
ZELENÝ, Jan. Web page segmentation utilizing clustering techniques. Brno, 2016. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-23. Supervised by Zendulka Jaroslav. Available from: https://www.fit.vut.cz/study/phd-thesis/741/
BibTeX 
@phdthesis{FITPT741,
    author = "Jan Zelen\'{y}",
    type = "Ph.D. thesis",
    title = "Web page segmentation utilizing clustering techniques",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/phd-thesis/741/"
}

Theses

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