Naïve bayes web page classification with HTML mark-up enrichment

Víctor Fresno Fernández; Raquel Martínez Unanue; Soto Montalvo Herranz; Arantza Casillas Rubio

doi:10.1109/ICCGI.2006.52

Naïve bayes web page classification with HTML mark-up enrichment

Víctor Fresno Fernández
, Raquel Martínez Unanue
, Soto Montalvo Herranz
, Arantza Casillas Rubio

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

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 Naive Bayes web page classification system for these approaches.

Original language	English
Title of host publication	Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06
Publisher	IEEE Computer Society
Pages	48-53
Number of pages	6
ISBN (Print)	0769526292, 9780769526294
DOIs	https://doi.org/10.1109/ICCGI.2006.52
Publication status	Published - 2006
Externally published	Yes
Event	International Multi-Conference on Computing in the Global Information Technology, ICCGI'06 - Bucharest, Romania Duration: 1 Aug 2006 → 3 Aug 2006

Publication series

Name	Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06

Conference

Conference	International Multi-Conference on Computing in the Global Information Technology, ICCGI'06
Country/Territory	Romania
City	Bucharest
Period	1/08/06 → 3/08/06

Access to Document

10.1109/ICCGI.2006.52

Cite this

Fernández, V. F., Unanue, R. M., Herranz, S. M., & Rubio, A. C. (2006). Naïve bayes web page classification with HTML mark-up enrichment. In Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06 (pp. 48-53). Article 4124067 (Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06). IEEE Computer Society. https://doi.org/10.1109/ICCGI.2006.52

Fernández, Víctor Fresno ; Unanue, Raquel Martínez ; Herranz, Soto Montalvo et al. / Naïve bayes web page classification with HTML mark-up enrichment. Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06. IEEE Computer Society, 2006. pp. 48-53 (Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06).

@inproceedings{8dbe8c00834047b3a586e5dc0bbdc1b0,

title = "Na{\"i}ve bayes web page classification with HTML mark-up enrichment",

abstract = "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 Naive Bayes web page classification system for these approaches.",

author = "Fern{\'a}ndez, \{V{\'i}ctor Fresno\} and Unanue, \{Raquel Mart{\'i}nez\} and Herranz, \{Soto Montalvo\} and Rubio, \{Arantza Casillas\}",

year = "2006",

doi = "10.1109/ICCGI.2006.52",

language = "English",

isbn = "0769526292",

series = "Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06",

publisher = "IEEE Computer Society",

pages = "48--53",

booktitle = "Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06",

address = "United States",

note = "International Multi-Conference on Computing in the Global Information Technology, ICCGI'06 ; Conference date: 01-08-2006 Through 03-08-2006",

}

Fernández, VF, Unanue, RM, Herranz, SM & Rubio, AC 2006, Naïve bayes web page classification with HTML mark-up enrichment. in Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06., 4124067, Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06, IEEE Computer Society, pp. 48-53, International Multi-Conference on Computing in the Global Information Technology, ICCGI'06, Bucharest, Romania, 1/08/06. https://doi.org/10.1109/ICCGI.2006.52

Naïve bayes web page classification with HTML mark-up enrichment. / Fernández, Víctor Fresno; Unanue, Raquel Martínez; Herranz, Soto Montalvo et al.
Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06. IEEE Computer Society, 2006. p. 48-53 4124067 (Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Naïve bayes web page classification with HTML mark-up enrichment

AU - Fernández, Víctor Fresno

AU - Unanue, Raquel Martínez

AU - Herranz, Soto Montalvo

AU - Rubio, Arantza Casillas

PY - 2006

Y1 - 2006

N2 - 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 Naive Bayes web page classification system for these approaches.

AB - 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 Naive Bayes web page classification system for these approaches.

UR - https://www.scopus.com/pages/publications/43549118388

U2 - 10.1109/ICCGI.2006.52

DO - 10.1109/ICCGI.2006.52

M3 - Conference contribution

AN - SCOPUS:43549118388

SN - 0769526292

SN - 9780769526294

T3 - Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06

SP - 48

EP - 53

BT - Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06

PB - IEEE Computer Society

T2 - International Multi-Conference on Computing in the Global Information Technology, ICCGI'06

Y2 - 1 August 2006 through 3 August 2006

ER -

Fernández VF, Unanue RM, Herranz SM, Rubio AC. Naïve bayes web page classification with HTML mark-up enrichment. In Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06. IEEE Computer Society. 2006. p. 48-53. 4124067. (Proceedings of the International Multi-Conference on Computing in the Global Information Technology, ICCGI'06). doi: 10.1109/ICCGI.2006.52

Naïve bayes web page classification with HTML mark-up enrichment

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