2022_An Enhanced Grasshopper Optimization Algorithm With Neural Networks For Improving The Accuracy Of Spam Email Detection
| Format: | General Document |
|---|
Similar Items
An integrated model to email spam classification using an enhanced grasshopper optimization algorithm to train a multilayer perceptron neural network
Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network
An ensemble learning method for spam email detection system based on metaheuristic algorithms
by: Behjat, Amir Rajabi
Published: (2015)
by: Behjat, Amir Rajabi
Published: (2015)
Evaluation of spam detection and prevention frameworks for email and image spam - a state of art
by: Hayati, Pedram, et al.
Published: (2008)
by: Hayati, Pedram, et al.
Published: (2008)
Factors Involved in Estimating Cost of Email Spam
by: Ridzuan, Farida, et al.
Published: (2010)
by: Ridzuan, Farida, et al.
Published: (2010)
Email spam filtering technique: challenges and solutions
by: Md Yasin, Sharifah, et al.
Published: (2023)
by: Md Yasin, Sharifah, et al.
Published: (2023)
Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems
by: Tusher, Ekramul Haque, et al.
Published: (2024)
by: Tusher, Ekramul Haque, et al.
Published: (2024)
Deep neural networks for spam classification
by: Kasmani, Mohamed Khizer
Published: (2013)
by: Kasmani, Mohamed Khizer
Published: (2013)
Email spam classification based on deep learning methods: A review
by: Tusher, Ekramul Haque, et al.
Published: (2025)
by: Tusher, Ekramul Haque, et al.
Published: (2025)
Multilayer perceptrons neural network based web spam detection application
by: Goh, K.L., et al.
Published: (2013)
by: Goh, K.L., et al.
Published: (2013)
XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection
by: Bouke, Mohamed Aly, et al.
Published: (2024)
by: Bouke, Mohamed Aly, et al.
Published: (2024)
An Experimental Study on Spam Detection Algorithms
by: Singh, Ashutosh Kumar, et al.
Published: (2011)
by: Singh, Ashutosh Kumar, et al.
Published: (2011)
Should we be concerned with spam emails? A look at its impacts and implications
by: Bujang, Yanti Rosmunie, et al.
Published: (2013)
by: Bujang, Yanti Rosmunie, et al.
Published: (2013)
Investigating email users behaviour against spam: a proposed theoretical framework
by: Bujang, Yanti Rosmunie, et al.
Published: (2012)
by: Bujang, Yanti Rosmunie, et al.
Published: (2012)
Multi-classifier classification of spam email on a ubiquitous multi-core architecture
by: Islam, Md., et al.
Published: (2008)
by: Islam, Md., et al.
Published: (2008)
Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
by: Gan, Swat Ngo
Published: (2004)
by: Gan, Swat Ngo
Published: (2004)
Gourmet grasshopper
by: Abdul Karim, Muhammad Shahrim, et al.
Published: (2013)
by: Abdul Karim, Muhammad Shahrim, et al.
Published: (2013)
A behavior based algorithm to detect spam bots
by: Zamil, Mohammed Fadhil
Published: (2009)
by: Zamil, Mohammed Fadhil
Published: (2009)
A dynamic opposite learning assisted grasshopper optimization algorithm for the flexible job scheduling problem
by: Feng, Yi, et al.
Published: (2020)
by: Feng, Yi, et al.
Published: (2020)
Optimal placement of TCSC for reactive power planning using grasshopper optimization algorithm considering line outage (N-M)
by: Muhamad Amirul, Asyraf Juhari, et al.
Published: (2019)
by: Muhamad Amirul, Asyraf Juhari, et al.
Published: (2019)
GA-based feature subset selection in a spam/non-spam detection system
by: Behjat, Amir Rajabi, et al.
Published: (2012)
by: Behjat, Amir Rajabi, et al.
Published: (2012)
Methods for demoting and detecting Web spam
by: Goh, Kwang Leng
Published: (2013)
by: Goh, Kwang Leng
Published: (2013)
Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
by: Arif, Hanafi, et al.
Published: (2016)
by: Arif, Hanafi, et al.
Published: (2016)
Incorporating weight properties in detection of web spam
by: Goh, Kwang Leng Alex, et al.
Published: (2012)
by: Goh, Kwang Leng Alex, et al.
Published: (2012)
Adapting and enhancing mussels wandering optimization algorithm for supervised training of neural networks
by: Abusnaina, Ahmed A. A.
Published: (2015)
by: Abusnaina, Ahmed A. A.
Published: (2015)
Detecting change from social networks using temporal analysis of email data
by: Nusratullah, Kajal, et al.
Published: (2018)
by: Nusratullah, Kajal, et al.
Published: (2018)
Link analysis algorithms to handle hanging and spam pages
by: Patchmuthu, Ravikumar
Published: (2014)
by: Patchmuthu, Ravikumar
Published: (2014)
Link-based spam algorithms in adversarial information retrieval
by: Leng, A., et al.
Published: (2012)
by: Leng, A., et al.
Published: (2012)
Definition of Spam 2.0: New Spamming Boom
by: Hayati, Pedram, et al.
Published: (2010)
by: Hayati, Pedram, et al.
Published: (2010)
An improved framework for content and link-based web spam detection: a combined approach
by: Shahzad, Asim
Published: (2021)
by: Shahzad, Asim
Published: (2021)
Detecting collusive spamming activities in community question answering
by: Liu, Yuli, et al.
Published: (2017)
by: Liu, Yuli, et al.
Published: (2017)
Detecting computer generated images for image spam filtering
by: Muataz Hazza, Zubaidah, et al.
Published: (2012)
by: Muataz Hazza, Zubaidah, et al.
Published: (2012)
An ensemble feature selection method to detect web spam
by: Oskouei, Mahdieh Danandeh, et al.
Published: (2018)
by: Oskouei, Mahdieh Danandeh, et al.
Published: (2018)
Detecting opinion spams through supervised boosting approach
by: Mohamad, Hazim, et al.
Published: (2018)
by: Mohamad, Hazim, et al.
Published: (2018)
Enhancement of nitrogen prediction accuracy through a new hybrid model using ant colony optimization and an Elman neural network
by: Kumar, Pavitra, et al.
Published: (2021)
by: Kumar, Pavitra, et al.
Published: (2021)
Cost regulation and power quality enhancement for PV-wind-battery system using grasshopper optimisation approach
by: Kishore, D. J. Krishna, et al.
Published: (2022)
by: Kishore, D. J. Krishna, et al.
Published: (2022)
The contribution of email volume, email management strategies and propensity to worry in predicting email stress among academics
by: Jerejian, Ailsa, et al.
Published: (2013)
by: Jerejian, Ailsa, et al.
Published: (2013)
Neural network algorithm-based fall detection modelling
by: Mohd Yusoff, Ainul Husna, et al.
Published: (2020)
by: Mohd Yusoff, Ainul Husna, et al.
Published: (2020)
Email Phishing Detection Model using CNN Model
by: Gurumurthy, M., et al.
Published: (2024)
by: Gurumurthy, M., et al.
Published: (2024)
Phishing Email Detection Technique by using Hybrid Features
by: Lew, May Form, et al.
Published: (2015)
by: Lew, May Form, et al.
Published: (2015)
Similar Items
- An integrated model to email spam classification using an enhanced grasshopper optimization algorithm to train a multilayer perceptron neural network
- Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network
-
An ensemble learning method for spam email detection system based on metaheuristic algorithms
by: Behjat, Amir Rajabi
Published: (2015) -
Evaluation of spam detection and prevention frameworks for email and image spam - a state of art
by: Hayati, Pedram, et al.
Published: (2008) -
Factors Involved in Estimating Cost of Email Spam
by: Ridzuan, Farida, et al.
Published: (2010)