Study Minimum Risk Spam Filter Algorithm Based on Cognition-learning

摘要：

　　The thesis puts forward anti-spam model and deficiency on spam filter based on minimum risk,and of austerity algorithm and through the introduction of cognition learning.The experiment proves that the forward of the method increased the recognition percentage of the spams,especially solved the problems of the spam filter.

关键词： Minimum Risk Cognition-learning Bayesian

作者: Lu QingMei Liu Hong Min

作者单位: School of Eletronics and Computer Science and Technology North University of China Taiyuan ,China, 030051

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1804-1807

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）