A study on early decision making in objectionable web content classification

Author

Lee, Lung-Hao ; Luh, Cheng-Jye ; Yang, Chih-Jie

Author_Institution

Dept. of Inf. Manage., Yuan-Ze Univ., Tao-Yuan

fYear

2008

fDate

17-20 June 2008

Firstpage

35

Lastpage

39

Abstract

This study proposed early decision heuristics for objectionable content classification using an inverse chi-square classifier. The experimental results indicated that only examining the title plus 10% of a Web pagepsilas content can cost-effectively achieve an average precision of 93%. More importantly, the F₁ measure achieved its best when the title plus 60% of the body was examined. The proposed early decision making heuristics can serve as the trade-off baseline for real-time online filtering.

Keywords

Internet; classification; decision making; information filtering; decision making heuristics; early decision making; inverse chi-square classifier; objectionable Web content classification; real-time online filtering; Decision making; Information analysis; Information filtering; Information filters; Internet; Matched filters; Partial response channels; Testing; Uniform resource locators; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

978-1-4244-2414-6

Electronic_ISBN

978-1-4244-2415-3

Type

conf

DOI

10.1109/ISI.2008.4565026

Filename

4565026