Improved Feature Selection Model for Big Data Analytics
Although there are many attempts to build an optimal model for feature selection in Big Data applications, the complex nature of processing such kind of data makes it still a big challenge. Accordingly, the data mining process may be obstructed due to the high dimensionality and complexity of huge d...
Main Authors: | Ibrahim M. El-Hasnony, Sherif I. Barakat, Mohamed Elhoseny, Reham R. Mostafa |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9058715/ |
Similar Items
-
Solution of Nonlinear Systems of Equations via Metaheuristics
by: Sangeeta Pant, et al.
Published: (2019-10-01) -
A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms
by: Omar Almomani
Published: (2020-06-01) -
Hierarchy Strengthened Grey Wolf Optimizer for Numerical Optimization and Feature Selection
by: Qiang Tu, et al.
Published: (2019-01-01) -
Prophesying the Short-Term Dynamics of the Crude Oil Future Price by Adopting the Survival of the Fittest Principle of Improved Grey Optimization and Extreme Learning Machine
by: Das, A.K, et al.
Published: (2022) -
Improved Optimal Power Flow for a Power System Incorporating Wind Power Generation by Using Grey Wolf Optimizer Algorithm
by: Sebaa Haddi, et al.
Published: (2018-01-01)