Safety Content Filtering Based on Incremental Induction of Decision Trees

Author

Fu, Yuanyuan

Author_Institution

Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China

fYear

2012

fDate

21-23 April 2012

Firstpage

163

Lastpage

166

Abstract

This paper presents a novel method of safety content filtering exploiting incremental induction of decision trees. Via defining an appropriate attribute space, this approach adapts the security content filtering task to online incremental induction of decision trees learning framework. Experiments on benchmark datasets show that this technique dells well with safety content filtering task.

Keywords

decision trees; information filtering; learning (artificial intelligence); attribute space; decision trees learning framework; incremental decision tree induction; safety content filtering; security content filtering task; Decision trees; Filtering; Mathematical model; Safety; Support vector machine classification; Training; Vectors; algorithm; content filtering; decision trees; discrete value; incremental induction;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on

Conference_Location

Henan

Print_ISBN

978-1-4673-1683-5

Type

conf

DOI

10.1109/ICICSE.2012.42

Filename

6239741

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2605574