Detecting spam email with machine learning optimized with Harris Hawks optimizer (HHO) algorithm

AS Mashaleh, NFB Ibrahim, MA Al-Betar… - Procedia Computer …, 2022 - Elsevier
Email spam has been a big issue in recent years. As the percentage of internet users grows,
so does the number of spam emails. Technologies are being used for illegitimate and …

[PDF][PDF] Filter and Embedded Feature Selection Methods to Meet Big Data Visualization Challenges.

KA ElDahshan, AAA AlHabshy… - Computers, Materials & …, 2023 - academia.edu
This study focuses on meeting the challenges of big data visualization by using of data
reduction methods based the feature selection methods. To reduce the volume of big data …

Plant classification using firefly algorithm and support vector machine

L Jovanovic, N Bacanin, M Antonijevic… - 2022 IEEE Zooming …, 2022 - ieeexplore.ieee.org
Plant identification plays an important role in crop cultivation and agriculture. Plants are
traditionally distinguished based on their fruit, flowers, and leaves. However, relying on …

A Lightweight Machine Learning-Based Email Spam Detection Model Using Word Frequency Pattern

MA Bouke, A Abdullah, MT Abdullah… - Journal of Information …, 2023 - sabapub.com
This Spam emails have become a severe challenge that irritates and consumes recipients'
time. On the one hand, existing spam detection techniques have low detection rates and …

[PDF][PDF] Improved fruitfly optimization with stacked residual deep learning based email classification

HJ Alshahrani, K Tarmissi, A Yafoz… - … Automation & Soft …, 2023 - researchgate.net
Applied linguistics means a wide range of actions which include addressing a few language-
based problems or solving some language-based concerns. Emails stay in the leading …

Diverse ensemble classifier driven Email spam classification using multiple word embedding's with COCOB optimizer

V Sri Vinitha, DK Renuka - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
Spam Email is a serious concern which can steal user's personal information and cause
huge financial loss due to the increasing rate of internet users. Therefore, the demand for …

FEATURE ENGINEERING WITH SENTENCE SIMILARITY USING THE LONGEST COMMON SUBSEQUENCE FOR EMAIL CLASSIFICATION

MM Kodabagi - Malaysian Journal of Computer Science, 2022 - adab.um.edu.my
Feature selection plays a prominent role in email classification since selecting the most
relevant features enhances the accuracy and performance of the learning classifier. Due to …

Email Spam Detection by Machine Learning Approaches: A Review

MT Hadi, SS Baawi - … on Forthcoming Networks and Sustainability in the …, 2024 - Springer
Currently, technology has exhibited substantial advancement, resulting in the improvement
of communication. Emails are often regarded as the most effective method for both informal …

Transformer-Based Attention Model for Email Spam Classification

VS Vinitha, DK Renuka, LA Kumar - International Conference on Frontiers …, 2023 - Springer
Over the past few decades, communication has become easier due to the rapid
development in technology. Although several modes exist for communication, in this era of …

Détection des utilisateurs indésirables dans Twitter en utilisant les techniques PSO-EHO

M RECIOUI, M YAGOUB - 2023 - dspace.univ-ghardaia.edu.dz
Les réseaux sociaux attirent des millions d'utilisateurs à travers le monde de défirent
tranches d'ages et de catégorie, ce qui les qualifiés de devenir des plate-forme cibles pour …