این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Information and Communication Technology Research (IJICT، جلد ۲، شماره ۳، صفحات ۵۹-۶۵
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Content-Based Approach for Trfcking Concept Drift in Email Spam Filtering
چکیده انگلیسی مقاله The continued growth of Email usage, which is naturally followed by an increase i unsolicited emails so called spams, motivates research in spam filtering area. In the context of spam filtering systems, addressing th evolving nature of spams, which leads to obsolete the related models, has been always a challenge. In this paper an adaptive spam filtering system based on language model is proposed which can detect concept drift based on computing the deviation in email contents distribution. The proposed method can be used a ong with any existing classifier; particularly in this paper we use Naive Bayes method as classifier. The proposed method has been evaluated with Enron data set. The results indicate the efficiency of the method in detectin concept drift and its superiority over Naive Bayes classifier in terms of accuracy.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | Morteza Zi Hayat
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran


| Javad Basiri
School of Electrical and Computer Engineering University of Tehran, Tehran, Iran


| Leila Seyedhossein
School of Electrical and Computer Engineering University of Tehran, Tehran, Iran


| Azadeh Shakery
School of Electrical and Computer Engineering University of Tehran, Tehran, Iran
نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-228&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/417/article-417-1212516.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده فناوری اطلاعات
نوع مقاله منتشر شده پژوهشی
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات