Classification with Imbalanced Datasets

This cluster deals with classification techniques specifically designed for imbalanced datasets, where one class significantly outnumbers others. It addresses challenges and methodologies for effective classification under such conditions.

imbalanced data
classification techniques
machine learning
evaluation metrics
data mining
assessing models

1,125 papers

Parent topic: Data Mining Techniques and Applications

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Papers Over Time

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Top Papers

Machine Learning And Deep Learning Frameworks And Libraries For Large-Scale Data Mining: A Survey

2019 · 548 citations

Training And Assessing Classification Rules With Imbalanced Data

2012 · 509 citations

Data Mining For Imbalanced Datasets: An Overview

2009 · 403 citations

Data Mining For Imbalanced Datasets: An Overview

0 · 318 citations

An Embedded Feature Selection Method For Imbalanced Data Classification

2019 · 290 citations

Data And Its (Dis)Contents: A Survey Of Dataset Development And Use In Machine Learning Research

2021 · 244 citations

Recent Advances And Emerging Challenges Of Feature Selection In The Context Of Big Data

2015 · 233 citations

Handling Data Irregularities In Classification: Foundations, Trends, And Future Challenges

2018 · 166 citations

Feature Selection For High-Dimensional Imbalanced Data

2013 · 129 citations

A Literature Review On One-Class Classification And Its Potential Applications In Big Data

2021 · 123 citations

Stupid Data Miner Tricks

2007 · 84 citations

Mine Classification With Imbalanced Data

2009 · 73 citations

Feature Screening For Ultrahigh Dimensional Categorical Data With Applications

2014 · 57 citations

DBFS: An Effective Density Based Feature Selection Scheme For Small Sample Size And High Dimensional Imbalanced Data Sets

2012 · 57 citations

Systematic Review Of Clustering High-Dimensional And Large Datasets

2018 · 55 citations

Feature Reduction For Imbalanced Data Classification Using Similarity-Based Feature Clustering With Adaptive Weighted K-nearest Neighbors

2022 · 54 citations

Active Subgroup Mining: A Case Study In Coronary Heart Disease Risk Group Detection.

2003 · 52 citations

BRACID: A Comprehensive Approach To Learning Rules From Imbalanced Data

2011 · 51 citations

Comparison Of Metrics For Feature Selection In Imbalanced Text Classification

2011 · 50 citations

Mining Association Rules In Big Data With NGEP

2015 · 43 citations