A Survey of k Nearest Neighbor Algorithms for Solving the Class Imbalanced Problem

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem

(2020) Zhe Wang et al.   KNOWLEDGE-BASED SYSTEMS

A reduced universum twin support vector machine for class imbalance learning

(2020) B. Richhariya et al.   PATTERN RECOGNITION

An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets

(2019) György Kovács   APPLIED SOFT COMPUTING

EBNO: Evolution of cost‐sensitive Bayesian networks

(2019) Eman Nashnush et al.   EXPERT SYSTEMS

Online entropy-based discretization for data streaming classification

(2018) S. Ramírez-Gallego et al.   Future Generation Computer Systems-The International Journal of eScience

An Improved Fuzzy K-Nearest Neighbor Algorithm for Imbalanced Data using Adaptive Approach

(2018) Harshita Patel et al.   IETE JOURNAL OF RESEARCH

Artificial neural networks used in optimization problems

(2018) Gabriel Villarrubia et al.   NEUROCOMPUTING

Decision tree classifiers for evidential attribute values and class labels

(2018) Asma Trabelsi et al.   FUZZY SETS AND SYSTEMS

Fuzzy-Based Information Decomposition for Incomplete and Imbalanced Data Learning

(2017) Shigang Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A local density-based approach for outlier detection

(2017) Bo Tang et al.   NEUROCOMPUTING

KRNN: k Rare-class Nearest Neighbour classification

(2017) Xiuzhen Zhang et al.   PATTERN RECOGNITION

Sequential random k-nearest neighbor feature selection for high-dimensional data

(2015) Chan Hee Park et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classifying imbalanced data in distance-based feature space

(2015) Shin Ando   KNOWLEDGE AND INFORMATION SYSTEMS

Gravitational fixed radius nearest neighbor for imbalanced problem

(2015) Yujin Zhu et al.   KNOWLEDGE-BASED SYSTEMS

A new nearest neighbor classifier via fusing neighborhood information

(2014) Yaojin Lin et al.   NEUROCOMPUTING

A preclustering-based ensemble learning technique for acute appendicitis diagnoses

(2013) Yen-Hsien Lee et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects

(2013) Joaquín Derrac et al.   INFORMATION SCIENCES

MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

(2012) Sukarna Barua et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs

(2010) Wael Khreich et al.   PATTERN RECOGNITION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING