[1]夏 虎,傅 彦,方育柯,等.一种自反馈垃圾信息综合过滤方法[J].智能系统学报,2010,5(02):117-121.
 XIA Hu,FU Yan,FANG Yu-ke,et al.A selffeedback synthesis method for spam filtering[J].CAAI Transactions on Intelligent Systems,2010,5(02):117-121.
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一种自反馈垃圾信息综合过滤方法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第5卷
期数:
2010年02期
页码:
117-121
栏目:
出版日期:
2010-04-25

文章信息/Info

Title:
A selffeedback synthesis method for spam filtering
文章编号:
1673-4785(2010)02-0117-05
作者:
夏 虎傅 彦方育柯周俊临
电子科技大学 计算机科学与工程学院, 四川 成都 611731
Author(s):
XIA Hu FU Yan FANG Yu-ke ZHOU Jun-lin
School of Computer Science & Engineering, Chengdu 611731, China
关键词:
信息过滤自反馈更新日志分析海量数据处理
Keywords:
spam filtration selffeedback updating log analysis massive data processing
分类号:
TP181
文献标志码:
A
摘要:
提出了一种自反馈垃圾信息综合过滤方法.通过构建日志分析模块,在人为参与尽可能少的情况下,根据过滤到的垃圾信息通过自我分析、自我决策、自我优化来实现信息过滤规则的自反馈更新.试验证明该方法克服了传统海量信息过滤中人工参与度高、工作量大、效率和准确率与人的操作高度相关的缺点,大大提高了信息过滤速度和准确率,实现了信息过滤的自动化.
Abstract:
A selffeedback based spam filtering method has been developed. In the construction of the log analysis module, the filtering system was implemented in a way that permited selffeedback when updating filtering rules. Selfanalysis, selfdecision, and selfoptimization were all incorporated. In this way minimal human intervention was required. In traditional massive information filtering, human involvement was very high, leaving filtering accuracy and efficiency highly dependent on the skills of the human operator. Experiments proved that this method overcomes these shortcomings, greatly enhancing the speed and accuracy of information filtering and effectively automating information filtering. 

参考文献/References:

[1]WANG Meizhen, LI Zhitang. Research on behavior statistic based spam filter[C]//Proceedings of the 1st International Workshop on Education Technology and Computer Science(ETCS 2009). Wuhan, China, 2009:687691
[2]DEEPAK P,JYOTHI J. A community based approach for spam filtering[C]//Proceedings 2004 International Conference on Information and Communication Technologies: From Theory to Applications(ICTTA 2004). Damascus, Syria, 2004:611612.
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[7]JANTIMA P, ANIRUT C, CHUMSAK S, RAPEEPORN C, SOMNUK P. Contentbased text classifiers for pornographic Web filtering[C]//Proceedings IEEE International Conference on Systems, Man,and Cybernetics. Taipei, China,2006:14811485.
[8]ZHOU Xujuan, LI Yuefeng, BRUZA P, WU Shengtang, 〖LL〗XU Yue, RAYMOND Y K. Using information filtering in Web data mining process[C]//Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence. Washington DC, USA: IEEE Computer Society, 2007:163169.
[9]ANIRUDH R, NICK F. Understanding the networklevel behavior of spammers[J]. Computer Communication Review,2006, 36(4):291302.〖ZK)〗

备注/Memo

备注/Memo:
收稿日期:2009-12-04.
基金项目:
国家自然科学基金资助项目(60903073);
国家“863” 计划资助项目(2007AA01Z440);
四川省科技支撑计划资助项目(2008GZ0009).
通信作者:夏 虎.E-mail:xiahu@uestc.edu.cn.
作者简介:
夏 虎,男,1981年生,博士研究生,主要研究方向为数据挖掘、异常检测、隐私保护.发表学术论文多篇.
傅 彦,女,1962年生,教授,博士生导师,电子科技大学计算机科学与工程学院副院长,四川省学术和技术带头人后备人选,四川省教学名师.主要从事模式识别、数据挖掘应用、信息安全等.主持和参与科研项目30余项,发表学术论文50余篇,被SCI、EI等检索10余篇.
更新日期/Last Update: 2010-05-24