ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification

ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification

The learning of classification models to predict class labels of new and previously unseen data instances is one of the most essential tasks in data mining. A popular approach to classification is ensemble learning, where a combination of several diverse and independent classification models is used...

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Bibliographic Details
Main Authors: Manal Almutairi, Frederic Stahl, Max Bramer
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Data mining
ensemble learning
explainable algorithms
rule-based classification
Online Access:https://ieeexplore.ieee.org/document/9364993/

Internet

https://ieeexplore.ieee.org/document/9364993/

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