An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data

An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data

This paper extends the Gamma associative classifier, making it able to deal with hybrid and incomplete data. In addition, it also encompasses the gamma rough sets model for dealing with such data, introducing the extended gamma rough sets. Some properties of such sets are demonstrated in this paper....

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Bibliographic Details
Main Authors: Yenny Villuendas-Rey, Cornelio Yanez-Marquez, Jarvin A. Anton-Vargas, Itzama Lopez-Yanez
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Associative classifiers
hybrid data
rough sets
Online Access:https://ieeexplore.ieee.org/document/8715514/

Internet

https://ieeexplore.ieee.org/document/8715514/

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