Machine learning algorithm to identifies fraud emails with feature selection
نویسندگان
چکیده
Abstract One percent of the emails that come in each day are fraudulent. Promotion tend to offer products. The recipient’s email is recorded by a company or organization. Not all promotional considered spam hoaxes. When observed, incoming provide information needed. How identify including hoaxes shipping with machine learning, known as algorithms, Support Vector Machines, Naïve Bayes, Decision Tree, Logistic Regression, Stochastic Gradient Descent, and Neural Network (MLP). trees effective tracing using data structure consisting vertices & edges. A node (root, branch, leaf) can categorize e-mail, hoax e-mail shipping. Previously, it was necessary characteristics email. After searching email, grouping continued. In Feature Extraction, calculation Gain Entropy used determine selection features classification emails, fraudulent
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ژورنال
عنوان ژورنال: IOP conference series
سال: 2021
ISSN: ['1757-899X', '1757-8981']
DOI: https://doi.org/10.1088/1757-899x/1088/1/012011