Short message filtering system based on improved balanced Winnow

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.