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International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)
Naive Bayes Web Page Classification with HTML Mark-Up Enrichment
Bucharest, Romania
August 01-August 03
ISBN: 0-7695-2690-X
ASCII Text
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Victor Fresno Fernandez, Raquel Martinez Unanue, Soto Montalvo Herranz, Arantza Casillas Rubio, "Naive Bayes Web Page Classification with HTML Mark-Up Enrichment," Computing in the Global Information Technology, International Multi-Conference on, pp. 48, International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICCGI.2006.52,
author = {Victor Fresno Fernandez and Raquel Martinez Unanue and Soto Montalvo Herranz and Arantza Casillas Rubio},
title = {Naive Bayes Web Page Classification with HTML Mark-Up Enrichment},
journal ={Computing in the Global Information Technology, International Multi-Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2690-X},
pages = {48},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCGI.2006.52},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computing in the Global Information Technology, International Multi-Conference on
TI - Naive Bayes Web Page Classification with HTML Mark-Up Enrichment
SN - 0-7695-2690-X
SP
EP
A1 - Victor Fresno Fernandez,
A1 - Raquel Martinez Unanue,
A1 - Soto Montalvo Herranz,
A1 - Arantza Casillas Rubio,
PY - 2006
KW - null
VL - 0
JA - Computing in the Global Information Technology, International Multi-Conference on
ER -
 
Victor Fresno Fernandez, Universidad Rey Juan Carlos (URJC)
Raquel Martinez Unanue, ETSI en Informatica U. Nacional de Educaci?on a Distancia (UNED)
Soto Montalvo Herranz, Universidad Rey Juan Carlos (URJC)
Arantza Casillas Rubio, Universidad del Pa??s Vasco (UPV-EHU)
In text and web page classification, Bayesian prior probabilities are usually based on term frequencies, term counts within a page and among all the pages. However, new approaches in web page representation use HTML mark-up information to find the term relevance in a web page. This paper presents a Na??ve Bayes web page classification system for these approaches.
Citation:
Victor Fresno Fernandez, Raquel Martinez Unanue, Soto Montalvo Herranz, Arantza Casillas Rubio, "Naive Bayes Web Page Classification with HTML Mark-Up Enrichment," iccgi, pp.48, International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06), 2006
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