基于改进平衡Winnow算法的短信过滤系统  

Short message filtering system based on improved balanced Winnow

作　　者：闫红静[1] 邸书灵[2] 

机构地区：[1]石家庄铁道大学研究生学院,河北石家庄050043 [2]石家庄铁道大学信息科学与技术学院,河北石家庄050043

出　　处：《微型机与应用》2010年第19期10-12,18,共4页Microcomputer & Its Applications

摘　　要：将黑白名单技术与Balanced Winnow算法相结合,实现对垃圾短信的过滤。采用CHI特征提取算法并对权重计算方法进行改进,同时提出了去除训练样本中野点的想法,通过判定去除野点,减缓在训练过程中出现的抖动现象。实验表明这种改进对于提高训练速度及提高短信过滤的性能均有很好的作用。Spam short message（SMS） had been a big problem that disturbed cell-phone users and mobile operators recently.Combined black-white list technology and balanced Winnow algorithms to realize the aim of filtering spam short message,adopts CHI statistics feature selection algorithms in addition improve the calculating methods of feature＇s weight,meanwhile,put forward view of casting aside the outliers in training set,estimate and take out the outliers to reduce the jittery action at the training.Finally,experiments show that this amelioration improves the speed of training and profits performance of filtering.

关 键 词：BALANCED WINNOW 短信过滤 CHI 野点 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]