Analysis of Dimensionality Reduction Techniques on Big Data

Analysis of Dimensionality Reduction Techniques on Big Data

Due to digitization, a huge volume of data is being generated across several sectors such as healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms are used to uncover patterns among the attributes of this data. Hence, they can be used to make predictions that ca...

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Bibliographic Details
Main Authors: G. Thippa Reddy, M. Praveen Kumar Reddy, Kuruva Lakshmanna, Rajesh Kaluri, Dharmendra Singh Rajput, Gautam Srivastava, Thar Baker
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cardiotocography dataset
dimensionality reduction
feature engineering
linear discriminant analysis
machine learning
principal component analysis
Online Access:https://ieeexplore.ieee.org/document/9036908/

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