一种识别骚扰电话的组合算法研究

Research on a combining algorithm for harassing calls to identify

当前骚扰电话层出不穷,严重影响了人们的日常生活。为了有效防范此类电话带来的不良社会影响,采用了数据挖掘的分析手段,深入研究了骚扰电话呼叫特点,提出了一种基于用户反馈的分时段分析骚扰电话识别方法;并对用户标识的疑似骚扰号码引入随机森林算法,极大提高骚扰源识别率,结合布控拦截机制,整体实现对骚扰电话全方位的管控。通过实际数据验证,效果明显。

At present, people＇s daily life has been seriously affected by an endless stream of harassing calls. To pre- vent the adverse social influence, a harassing calls recognition method based on the analysis of users＇ feedbacks was proposed, which could make people look insight into the features of harassing calls by data mining. Also, the random forest algorithm was applied to identify the suspected harassment numbers. In this way, the recognition rate of ha- rassment source has been enhanced greatly, and a comprehensive control in harassing calls can be achieved by inte- grating the portable interceptor. Simulation results also show its good performance.