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» Classifying Web Pages with Visual Features
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DEXA
2006
Springer
197views Database» more  DEXA 2006»
13 years 9 months ago
Cleaning Web Pages for Effective Web Content Mining
Classifying and mining noise-free web pages will improve on accuracy of search results as well as search speed, and may benefit webpage organization applications (e.g., keyword-bas...
Jing Li, Christie I. Ezeife
CIKM
2005
Springer
14 years 1 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen
ADCS
2004
13 years 9 months ago
Co-Training on Textual Documents with a Single Natural Feature Set
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
Jason Chan, Irena Koprinska, Josiah Poon
AIPRF
2007
13 years 9 months ago
Evaluation of Different Approaches to Training a Genre Classifier
This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected ba...
Vedrana Vidulin, Mitja Lustrek, Matjaz Gams
WIDM
2004
ACM
14 years 1 months ago
Stylistic and lexical co-training for web block classification
Many applications which use web data extract information from a limited number of regions on a web page. As such, web page division into blocks and the subsequent block classifica...
Chee How Lee, Min-Yen Kan, Sandra Lai