Who Cited It

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

2009 · International Journal of Pattern Recognition and Artificial Intelligence · 1,713 citations · 5 from inside this corpus

Yanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …Random Forests (2001)Random ForestsSMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Induction of Decision Trees (1986)Induction of Decision TreesIntroduction to the theory of neural computation (1994)Introduction to the theory of…On combining classifiers (1998)On combining classifiersBayesian Network Classifiers (1997)Bayesian Network ClassifiersA study of the behavior of several methods for balancing machine learning training data (2004)A study of the behavior of se…The class imbalance problem: A systematic study1 (2002)The class imbalance problem: …Improved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …Editorial (2004)EditorialThe Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Improved Boosting Algorithms Using Confidence-rated Predictions (1999)Improved Boosting Algorithms …Introduction to the Theory of Neural Computation (2018)Introduction to the Theory of…SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)SMOTEBoost: Improving Predict…Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…Mining with rarity (2004)Mining with rarityA Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Learning from imbalanced data: open challenges and future directions (2016)Learning from imbalanced data…Learning from class-imbalanced data: Review of methods and applications (2016)Learning from class-imbalance…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…An insight into classification with imbalanced data: Empirical results and current trends… (2013)
22 of 22 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
SMOTE: Synthetic Minority Over-sampling Technique200232,402
C4.5: Programs for Machine Learning199223,704
Induction of Decision Trees198615,020
Introduction to the theory of neural computation19946,461
On combining classifiers19985,302
Bayesian Network Classifiers19974,754
A study of the behavior of several methods for balancing machine learning training data20044,222
The class imbalance problem: A systematic study120023,353
Improved boosting algorithms using confidence-rated predictions19982,573
Editorial20042,081
The Boosting Approach to Machine Learning: An Overview20032,023
Improved Boosting Algorithms Using Confidence-rated Predictions19991,966
Introduction to the Theory of Neural Computation20181,789
SMOTEBoost: Improving Prediction of the Minority Class in Boosting20031,680
Cost-sensitive boosting for classification of imbalanced data20071,438
Mining with rarity20041,396

What cites it, inside the corpus

PaperYearCited
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Learning from imbalanced data: open challenges and future directions20162,489
Learning from class-imbalanced data: Review of methods and applications20162,407
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226
An insight into classification with imbalanced data: Empirical results and current trends…20131,602

Links

DOI · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Financial Distress and Bankruptcy PredictionBusiness, Management and Accounting
Electricity Theft Detection TechniquesEngineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports82 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…