基于病毒分类挖掘算法的有害信息过滤研究与探索

Research and exploration of harmful information filtering based on virus classification mining

本文提出了一种改进的基于病毒分类挖掘的有害信息过滤分析方法。该方法采用分类挖掘算法,通过对传输数据进行分类和判断,识别并过滤出存在病毒的有害信息。实验结果表明,该方法能够有效地识别和过滤出存在病毒的有害信息,并提高信息过滤的准确性和效率。

By analyzing and summarizing the existing technology,this paper puts forward an improved method of filtering and analyzing harmful information based on virus classification mining.This method adopts classification mining algorithm,and can identify and filter out harmful information with viruses by classifying and judging the transmitted data.The experimental results show that this method can effectively identify and filter harmful information with viruses,and improve the accuracy and efficiency of information filtering.