کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6856986 1437973 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Concept drift in e-mail datasets: An empirical study with practical implications
ترجمه فارسی عنوان
مفهوم ریزش در مجموعه داده های ایمیل: یک مطالعه تجربی با مفاهیم عملی
کلمات کلیدی
مفهوم تحلیل رانش استخراج متن، فیلتر کردن هرزنامه، پست الکترونیک، طبقه بندی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Internet e-mail service emerged in the late seventies to implement fast message exchanging through computer networks. Network users immediately discovered the value of this service (sometimes for improper purposes such as spamming). As e-mail became indispensable to increase personal productivity, the volume of spam deliveries was constantly growing. With the passage of time, a great number of proposals and tools have emerged to fight against spam. However, the vast majority of them do not properly take into consideration the inner attributes of spam and ham messages such as the noise or the presence of concept drift. In this work, we provide a detailed empirical study of concept drift in the e-mail domain taking into consideration two key aspects: existing types of concept drift and the real class of messages (spam and ham). As a result, our study reveals different weaknesses of multiple e-mail filtering alternatives and other relevant works in this domain and identifies new strategies to develop more accurate filters. Finally, the experimentation carried out in this work has motivated the development of a concept drift analyser tool for the e-mail domain that can be freely downloaded from https://github.com/sing-group/conceptDriftAnalyser.git.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 428, February 2018, Pages 120-135
نویسندگان
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