Title :
Safety Content Filtering Based on Incremental Induction of Decision Trees
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
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;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4673-1683-5
DOI :
10.1109/ICICSE.2012.42
