Paraconsistent Random Forest: An Alternative Approach for Dealing With Uncertain Data

Paraconsistent Random Forest: An Alternative Approach for Dealing With Uncertain Data

Pattern recognition algorithms have introduced increasingly sophisticated solutions. However, many datasets are far from perfect; for example, they may include inconsistencies and have missing data, which may interfere with the classification process. Thus, the use of paraconsistent logic can provid...

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Bibliographic Details
Main Authors: Gabriela W. Favieiro, Alexandre Balbinot
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Decision trees
hybrid classifier
pattern recognition
paraconsistent logic
random forest
Online Access:https://ieeexplore.ieee.org/document/8862847/

Internet

https://ieeexplore.ieee.org/document/8862847/

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