Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems

Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems

An imbalanced classification problem is one in which the distribution of instances across defined classes is uneven or biased in one direction or another. In data mining, the probabilistic neural network (PNN) classifier is a well-known technology that has been successfully used to solve a variety o...

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Bibliographic Details
Main Authors: Mohammed Alweshah, Muder Almiani, Saleh Alkhalaileh, Sofian Kassaymeh, Essa Abdullah Hezzam, Waleed Alomoush
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Ali Baba and the Forty Thieves algorithm
imbalanced data
parallel metaheuristic
PNN classifier
water strider algorithm
Online Access:https://ieeexplore.ieee.org/document/10283817/

Internet

https://ieeexplore.ieee.org/document/10283817/

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