A Machine Learning Approach to Reduce Dimensional Space in Large Datasets

A Machine Learning Approach to Reduce Dimensional Space in Large Datasets

Large datasets computing is a research problem as well as a huge challenge due to massive amounts of data that are mined and crunched in order to successfully analyze these massive datasets because they constitute a valuable source of information over different and cross-folded domains, and therefor...

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Bibliographic Details
Main Authors: Rafael Munoz Terol, Alejandro Reina Reina, Saber Ziaei, David Gil
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Machine learning
data mining
large dataset
dimensionality reduction
ETL
PCA
Online Access:https://ieeexplore.ieee.org/document/9151984/

Internet

https://ieeexplore.ieee.org/document/9151984/

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