Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data
Recently, researchers intensified their efforts on a dataset with a large number of features named Big Data because of the technological revolution and the development in the data science sector. Dimensionality reduction technology has efficient, effective, and influential methods for analyzing thi...
Saved in:
Main Authors: | Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi |
---|---|
Format: | Article |
Language: | English |
Published: |
middle technical university
2023-03-01
|
Series: | Journal of Techniques |
Subjects: | |
Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/1027 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems
by: Maham Nayab, et al.
Published: (2025-01-01) -
Cross-project software defect prediction based on the reduction and hybridization of software metrics
by: Ahmed Abdu, et al.
Published: (2025-01-01) -
A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia
by: Dionicio Neira-Rodado, et al.
Published: (2025-01-01) -
PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION
by: Eghbal Motaei, et al.
Published: (2024-12-01) -
Application of Principal Component Analysis for Steel Material Components
by: Miran Othman Tofiq, et al.
Published: (2022-12-01)