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Detail publikace
ZELENÝ, J. BURGET, R.
Originální název
Accelerating the process of web page segmentation via template clustering
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
Segmenting a web page is often one of the initial steps when performing some data mining on that page. We acknowledge that there is a lot of research in the area of segmentation based on visual perception of the web page. In this paper we propose a method how to improve the efficiency of virtually all vision-based segmentation algorithms. Our method, called Cluster-based Page Segmentation, takes the widely spread concept of web templates and utilizes it to improve the efficiency of vision-based page segmentation by clustering web pages and performing the segmentation on the cluster instead of on each page in that cluster. To prove the efficiency of our algorithm we offer experimental results gathered using three different vision-based segmentation algorithms.
Klíčová slova
VIPS, page segmentation, vision-based page segmentation, web page segmentation, web page preprocessing, segmentation performance, clustering, template, template detection
Autoři
ZELENÝ, J.; BURGET, R.
Vydáno
21. 3. 2016
ISSN
1751-5858
Periodikum
International Journal of Intelligent Information and Database System
Ročník
2016
Číslo
2
Stát
Švýcarská konfederace
Strany od
134
Strany do
153
Strany počet
20
URL
https://www.fit.vut.cz/research/publication/10530/
BibTex
@article{BUT130902, author="Jan {Zelený} and Radek {Burget}", title="Accelerating the process of web page segmentation via template clustering", journal="International Journal of Intelligent Information and Database System", year="2016", volume="2016", number="2", pages="134--153", doi="10.1504/IJIIDS.2016.075424", issn="1751-5858", url="https://www.fit.vut.cz/research/publication/10530/" }