Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data

It is recognized the importance of knowing the descriptive properties of a dataset when tackling a data science problem. Having information about the redundancy, complexity and density of a problem allows us to make decisions as to which data preprocessing and machine learning techniques are most su...

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Bibliographic Details
Main Authors: Jesus Maillo, Isaac Triguero, Francisco Herrera
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9083972/