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A Modified Minimum Risk Bayes and It’s Application in Spam Filtering

  • Zhenfang Zhu
  • Peipei Wang
  • Zhiping Jia
  • Hairong Xiao
  • Guangyuan Zhang
  • Hao Liang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

To settle the problem of the flood spam, a spam filtering algorithm based on AdaBoost algorithm and minimum Risk Bayes algorithm is created by the combination of the latter two after in-depth analysis and research of them. Experiments have been run to apply it to spam filtering, the result of which shows that this algorithm can better the performance of spam filtering system by improving the accuracy of mail filtering.

Keywords:

Mail filtering Minimum risk bayes AdaBoost 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Zhenfang Zhu
    • 1
    • 2
  • Peipei Wang
    • 3
  • Zhiping Jia
    • 1
  • Hairong Xiao
    • 2
  • Guangyuan Zhang
    • 2
  • Hao Liang
    • 2
  1. 1.School of Computer Science and TechnologyShandong UniversityJinanChina
  2. 2.School of Information Science and Electric EngineeringShandong Jiaotong UniversityJinanChina
  3. 3.School of Accountancy Shandong management UniversityJinanChina

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