A Survey on Dimensionality Reduction Techniques for Time-Series Data

A Survey on Dimensionality Reduction Techniques for Time-Series Data

Data analysis in modern times involves working with large volumes of data, including time-series data. This type of data is characterized by its high dimensionality, enormous volume, and the presence of both noise and redundant features. However, the “curse of dimensionality” o...

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Bibliographic Details
Main Authors: Mohsena Ashraf, Farzana Anowar, Jahanggir H. Setu, Atiqul I. Chowdhury, Eshtiak Ahmed, Ashraful Islam, Abdullah Al-Mamun
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Time-series data
dimensionality reduction
high-dimensional data
machine learning
Online Access:https://ieeexplore.ieee.org/document/10107391/

Internet

https://ieeexplore.ieee.org/document/10107391/

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