Earticle

초록

영어

The volume of junk emails on the Internet has grown tremendously in the past few years and is causing serious problems. Content-based filtering is one of mainstream technologies used so far. This paper has had a deep study in the content of emails and come up with a better idea to get the features which make it even convenient to e-mail classify as well. This paper uses the classification algorithm by Bagging eEP-based classifiers to the junk email examine, and carries out a new categorization and filtering algorithm BeEPJMC. The experiments show, the new feature extraction methods and the combination BeEP classification is a very efficient method of classification, and The classification efficiency of the algorithm BeEPJMC is higher than currently several better classification algorithm.

목차

Abstract
 1. The Basic Concept
 2. The Pre-Processing and Feature Extraction of the E-mail Text
 3. EEP-based E-mail Classification and Filtering Algorithms BeEPJMC
 4. Analysis of Experimental Results and Evaluation
 5. Prospects
 References

키워드

저자

• Yan Li [ Henan Technical College of Construction , ZhengZhou,China,450064 ]
• Hua Zhou [ Zhongzhou University,ZhengZhou,China,450044 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605