Volume 13 (2025)
Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
H.6.3.2. Feature evaluation and selection
A Hybrid Feature Selection Technique Leveraging Principal Component Analysis And Support Vector Machines

Sayyed Mohammad Hoseini; Majid Ebtia; Mohanna Dehgardi

Volume 13, Issue 2 , April 2025, , Pages 159-173

https://doi.org/10.22044/jadm.2025.15276.2632

Abstract
  The abundance of high dimensional datasets and the computational limitations of data analysis processes in applying to high-dimensional data have made clear the importance of developing feature selection methods. The negative impact of irrelevant variables on prediction and increasing unnecessary calculations ...  Read More

C.1. General
Intrusion Detection based on a Novel Hybrid Learning Approach

L. khalvati; M. Keshtgary; N. Rikhtegar

Volume 6, Issue 1 , March 2018, , Pages 157-162

https://doi.org/10.22044/jadm.2017.979

Abstract
  Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach ...  Read More