Network Flow Classification Based on Active Learning

This paper introduces an active learning method to select the most qualified data for training and propose a roulette wheel selection method.The experimental results demonstrate that the proposed method is able to guarantee high identification accuracy by using a small quantity of high qualified data.Therefore, it is more suitable for the real network applications than the traditional ones.