PHIBOOST- A NOVEL PHISHING DETECTION MODEL USING ADAPTIVE BOOSTING APPROACH

(Received: 14-Sep.-2020, Revised: 6-Nov.-2020 , Accepted: 15-Dec.-2020)

Ammar Odeh,Ismail Keshta,Eman Abdelfattah

#Adaptive boost #Feature selection #Correlation-based feature #Machine learning

Abstract

MULTI-LABEL RANKING METHOD BASED ON POSITIVE CLASS CORRELATIONS

(Received: 19-Jun.-2020, Revised: 8-Aug.-2020 , Accepted: 30-Aug.-2020)

Raed Alazaidah,Farzana Kabir Ahmad,Mohamad Farhan Mohamad Mohsin,Wael Ahmad AlZoubi

#Prediction #Machine learning #Multi-label ranking #Multi-label classification #Problem transformation methods #Class ranking methods

Abstract

(Received: 27-May-2020, Revised: 7-Aug.-2020 , Accepted: 26-Aug.-2020)

Elham Darbanian,Dadmehr Rahbari,Roghayeh Ghanizadeh,Mohsen Nickray

#Fog computing #Decision tree classifier #Random forest classifier #Extra-trees classifier #AdaBoost classifier #Offloading #Machine learning

Abstract

(Received: 17-Sep-2019, Revised: 5-Nov-2019 , Accepted: 30-Nov-2019)

Alaa El-Halees,Mohammed Tafish

#Breast cancer severity #Medical data #Deep learning #Deep neural network #Recurrent neural network #Deep Boltzmann machines.

Abstract