Training neural networks by enhance grasshopper optimization algorithm for spam detection system

SAA Ghaleb, M Mohamad, SA Fadzli… - IEEE …, 2021 - ieeexplore.ieee.org
A significant negative impact of spam e-mail is not limited only to the serious waste of
resources, time, and efforts, but also increases communications overload and cybercrime …

Multimodal spam classification using deep learning techniques

S Seth, S Biswas - … conference on signal-image technology & …, 2017 - ieeexplore.ieee.org
The internet has been beneficial to the society in ways more than one, the power to learn
anything anywhere, the power to always be connected to the people you love. But as usual …

[PDF][PDF] Classification scheme of unstructured text document using TF-IDF and naive bayes classifier

JY Yoo, D Yang - Advanced Science and Technology Letters, 2015 - scholar.archive.org
Recently due to large-scale data spread in digital economy, the era of big data is coming.
Through big data, unstructured text data consisting of technical text document, confidential …

A study of machine learning algorithms on email spam classification

N Sattu - 2020 - search.proquest.com
The act of sending unwanted email messages in large quantities to the recipients who have
not verifiably given permission to be sent is known as email spam. Even though a lot of …

An analysis of machine learning algorithms and deep neural networks for email spam classification using natural language processing

MM Hasan, SM Zaman, MA Talukdar… - … and Logistics, and …, 2021 - ieeexplore.ieee.org
Due to the extensive use of technology in our daily lives, email has become essential for
online correspondence between individuals from all walks of life. As such certain individuals …

Enhancement of spam detection mechanism based on hybrid k-mean clustering and support vector machine

NOF Elssied, O Ibrahim, AH Osman - Soft Computing, 2015 - Springer
Spam e-mails are considered a serious violation of privacy. It has become costly and
unwanted communication. Support vector machine (SVM) has been widely used in e-mail …

Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network

SAA Ghaleb, M Mohamad, EFHS Abdullah… - Advances in Cyber …, 2021 - Springer
The electronic mailing system has in recent years become a timely and convenient way for
the exchange of multimedia messages across the cyberspace and computer networks in the …

E-mail Spam Classification Using Grasshopper Optimization Algorithm and Neural Networks.

SAA Ghaleb, M Mohamad, SA Fadzli… - Computers …, 2022 - search.ebscohost.com
Spam has turned into a big predicament these days, due to the increase in the number of
spam emails, as the recipient regularly receives piles of emails. Not only is spam wasting …

An integrated model to email spam classification using an enhanced grasshopper optimization algorithm to train a multilayer perceptron neural network

SAA Ghaleb, M Mohamad, EFHS Abdullah… - Advances in Cyber …, 2021 - Springer
Email is an important communication that the Internet has made available. One of the
significance is seen in the great ease in which immediate transmission of internet data is …

[PDF][PDF] A content-based spam e-mail filtering approach using multilayer perceptron neural networks

AS Rao, PS Avadhani, N Chaudhuri - Int J Eng Trends Technol, 2016 - researchgate.net
Nowadays increased spam e-mails are causing inconvenience to internet users and
organizations and are considered as a serious wastage of resources, time, memory, space …