Adaptive Generation-based Approaches of Oversampling using Different Sets of Base and Nearest Neighbor's Instances

Research output: Contribution to journal › Article › peer-review

2 Citations (SciVal)

Original language	English
Journal	International Journal of Advanced Computer Science and Applications
Volume	13
Issue number	4
Publication status	Published (VoR) - 1 Apr 2022

Keywords

@article{3afdabab24a146ee8e2df5f950744811,

title = "Adaptive Generation-based Approaches of Oversampling using Different Sets of Base and Nearest Neighbor's Instances",

keywords = "Class imbalance; nearest neighbors; base samples; initial selection; SMOTE",

author = "Nabus, \{Hatem S. Y.\} and Aida Ali and Shafaatunnur Hassan and Shamsuddin, \{Siti Mariya\} and Mustapha, \{Ismail B.\} and Faisal Saeed",

year = "2022",

month = apr,

day = "1",

language = "English",

volume = "13",

journal = "International Journal of Advanced Computer Science and Applications",

issn = "2158-107X",

publisher = "The Science and Information (SAI) Organization Limited",

number = "4",

}

TY - JOUR

T1 - Adaptive Generation-based Approaches of Oversampling using Different Sets of Base and Nearest Neighbor's Instances

AU - Nabus, Hatem S. Y.

AU - Ali, Aida

AU - Hassan, Shafaatunnur

AU - Shamsuddin, Siti Mariya

AU - Mustapha, Ismail B.

AU - Saeed, Faisal

PY - 2022/4/1

Y1 - 2022/4/1

KW - Class imbalance; nearest neighbors; base samples; initial selection; SMOTE

M3 - Article

SN - 2158-107X

VL - 13

JO - International Journal of Advanced Computer Science and Applications

JF - International Journal of Advanced Computer Science and Applications

IS - 4

ER -