Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance
Noisy data is a prevalent issue in data mining, significantly impacting the performance of classification algorithms. Mathematical methods are crucial in tackling this obstacle, particularly in optimizing noise detection and data preprocessing. This study proposes a novel approach—Joint T...
Saved in:
| Main Authors: | Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11037412/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm
by: Febryan Grady, et al.
Published: (2025-06-01) -
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand
by: Guangmei Yang, et al.
Published: (2025-03-01) -
A new machine learning method for rainfall classification: temporal random tree
by: Kokten Ulas Birant, et al.
Published: (2025-07-01) -
Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity
by: Bita Ghasemkhani, et al.
Published: (2025-01-01) -
Model Pembelajaran Mesin untuk Deteksi Penipuan Kartu Kredit yang Dioptimalkan Menggunakan SMOTE-Tomek dan Rekayasa Fitur
by: Mochammad Abdurrochman Ari Wibowo, et al.
Published: (2024-11-01)