THE FEATURE SELECTION AND DIMENSIONALITY REDUCTION METHODS FOR EMAIL CLASSIFICATION
عنوان مقاله: THE FEATURE SELECTION AND DIMENSIONALITY REDUCTION METHODS FOR EMAIL CLASSIFICATION
شناسه ملی مقاله: TIAU01_167
منتشر شده در همایش ملی پژوهش های کاربردی در علوم و مهندسی در سال 1392
شناسه ملی مقاله: TIAU01_167
منتشر شده در همایش ملی پژوهش های کاربردی در علوم و مهندسی در سال 1392
مشخصات نویسندگان مقاله:
n TALEBIBEYRAMI - Talebi.beyrami@yahoo.com
m FEIZIDERAKHSHI - Department of Computer, University of Tabriz, Tabriz, Iran
خلاصه مقاله:
n TALEBIBEYRAMI - Talebi.beyrami@yahoo.com
m FEIZIDERAKHSHI - Department of Computer, University of Tabriz, Tabriz, Iran
According to the increasing growth of using electronic mails, the spam emails has became a important problem. Today, there are many methods to detect and filter unwanted emails. The filtering techniques apply machine learning algorithms to classify. In email classification, usually the email term is used as a feature, but most of the methods face with the high volume problem of features’ dimensions. There are a lot of methods to select feature and reduce feature dimensionality. In this paper, we will introduce some of the feature selection methods to classify emails
کلمات کلیدی: Email classification, Dimensionality Reduction, Feature Selection, Text Categorization, Spam filter
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/290734/