An Imbalanced Big Data Mining Framework for Improving Optimization Algorithms Performance

An Imbalanced Big Data Mining Framework for Improving Optimization Algorithms Performance

Big data is an important factor almost in all nowadays technologies, such as, social media, smart cities, and internet of things. Most of standard classifiers tends to be trapped in local optima problem when dealing with such massive datasets. Hence, investigating new techniques for dealing with suc...

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Bibliographic Details
Main Authors: Eslam Mohsen Hassib, Ali Ibrahim El-Desouky, El-Sayed M. El-Kenawy, Sally M. El-Ghamrawy
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Grey wolf optimizer
neural network
big data mining
deep learning
imbalanced data sets
optimization
Online Access:https://ieeexplore.ieee.org/document/8913526/

Internet

https://ieeexplore.ieee.org/document/8913526/

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