Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis
Abstract Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address this challenge, hybrid data processing methods, combi...
Main Authors: | Imran Raza, Muhammad Hasan Jamal, Rizwan Qureshi, Abdul Karim Shahid, Angel Olider Rojas Vistorte, Md Abdus Samad, Imran Ashraf |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-04-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-57547-4 |
Similar Items
-
Feature selection based on neighborhood rough sets and Gini index
by: Yuchao Zhang, et al.
Published: (2023-12-01) -
Transient Stability Assessment of Power Systems Based on the Transformer and Neighborhood Rough Set
by: Tianyi Bei, et al.
Published: (2024-01-01) -
Some Topological Approaches of Rough Sets through Minimal Neighborhoods and Decision Making
by: Ismail T. Shbair, et al.
Published: (2024-01-01) -
Multi-Label Attribute Reduction Based on Neighborhood Multi-Target Rough Sets
by: Wenbin Zheng, et al.
Published: (2022-08-01) -
Positive mental health of Latin American university professors: A scientific framework for intervention and improvement
by: Angel Deroncele-Acosta, et al.
Published: (2024-01-01)