An Intelligent Fusion Algorithm and Its Application Based on Subgroup Migration and Adaptive Boosting

An Intelligent Fusion Algorithm and Its Application Based on Subgroup Migration and Adaptive Boosting

Imbalanced data and feature redundancies are common problems in many fields, especially in software defect prediction, data mining, machine learning, and industrial big data application. To resolve these problems, we propose an intelligent fusion algorithm, SMPSO-HS-AdaBoost, which combines particle...

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Bibliographic Details
Main Authors: Timing Li, Lei Yang, Kewen Li, Jiannan Zhai
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Symmetry
Subjects:
fusion algorithm
imbalanced data
feature redundancies
subgroup migration
adaptive boosting
Online Access:https://www.mdpi.com/2073-8994/13/4/569

Internet

https://www.mdpi.com/2073-8994/13/4/569

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