Safety Content Filtering Based on Incremental Induction of Decision Trees
Yuanyuan Fu · 2012
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.