Enhancing Imbalanced Dataset by Utilizing (K-NN Based SMOTE_3D Algorithm)

Author:

Khaldoon Alshouiliy,Sujan Ray,Ali AlGhamdi,Dharma P Agrawal

Publisher

Peertechz Publications Private Limited

Reference26 articles.

1. 1. Haibo He, Yunqian Ma (2013) Imbalanced Learning: Foundations,Algorithms, and Applications. John Wiley and Sons 216. Link: https://bit.ly/2yF46J3

2. 2. Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP (2002) SMOTE: Synthetic Minority Over-sampling Technique. JAIR 16. Link: https://bit.ly/3au15Za

3. 3. Kotsiantis S, Pintelas P, Anyfantis D, Karagiannopoulos M (2007) Robustness of learning techniques in handling class noise in imbalanced datasets. 247: 21-28. Link: https://bit.ly/3bLEBnK

4. 4. Provost F (2000) Machine learning from imbalanced data sets 101. In Proceedings of the AAAI'2000 workshop on imbalanced data sets. AAAI Press 68. Link: https://bit.ly/3cKMt9q

5. 5. Cunningham P, Delany SJ (2007) k-Nearest neighbour classifiers. Multiple Classifier Systems 34: 1-17.

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