基于改进的朴素贝叶斯分类的手机垃圾短信识别研究  

The Identification Study of Mobile Rubbish Short Message Based on Advanced Nave Bayesian Classification

作　　者：王勇[1] 李净[2] 

机构地区：[1]江西蓝天学院,江西南昌330029 [2]中国政法大学科学技术教学部,北京102249

出　　处：《江西科学》2008年第5期724-726,769,共4页Jiangxi Science

摘　　要：垃圾短信给人们的生活带来了越来越多的扰乱与不安,改革了传统的朴素贝叶斯分类模型,对垃圾短信进行识别过滤,实验表明该方法提高了准确率,具有较好的分类效果。It makes people more and more uncomfortable with the emerging of rubbish short messages. We improved traditional naǐve Bayesian classification and realized filtrating of rubbish short mes-sages. The experiment shows the method improved the nicety and the classification does work.

关 键 词：垃圾短信 贝叶斯分类 过滤 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]