Who Cited It

Editorial

2004 · ACM SIGKDD Explorations Newsletter · 2,081 citations · 12 from inside this corpus

Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz low

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.

Editorial (2004)EditorialSMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…An introduction to variable and feature selection (2003)An introduction to variable a…Estimating the Support of a High-Dimensional Distribution (2001)Estimating the Support of a H…A 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: …Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…An extensive empirical study of feature selection metrics for text classification (2003)An extensive empirical study …The foundations of cost-sensitive learning (2001)The foundations of cost-sensi…SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)SMOTEBoost: Improving Predict…Mining with rarity (2004)Mining with rarityAnomaly detection (2009)Anomaly detectionLearning from Imbalanced Data (2009)Learning from Imbalanced DataThe Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Cl… (2015)The Precision-Recall Plot Is …Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning (2005)Borderline-SMOTE: A New Over-…Survey on deep learning with class imbalance (2019)Survey on deep learning with …Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu… (2006)Beyond Accuracy, F-Score and …CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …An insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…Cost-sensitive boosting for classification of imbalanced data (2007)Mining Multi-label Data (2009)Mining Multi-label Data
23 of 23 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
SMOTE: Synthetic Minority Over-sampling Technique200232,402
C4.5: Programs for Machine Learning199223,704
An introduction to variable and feature selection20037,858
Estimating the Support of a High-Dimensional Distribution20016,097
A study of the behavior of several methods for balancing machine learning training data20044,222
The class imbalance problem: A systematic study120023,353
Text Classification from Labeled and Unlabeled Documents using EM20002,753
An extensive empirical study of feature selection metrics for text classification20032,390
The foundations of cost-sensitive learning20011,837
SMOTEBoost: Improving Prediction of the Minority Class in Boosting20031,680
Mining with rarity20041,396

What cites it, inside the corpus

PaperYearCited
Anomaly detection200911,511
Learning from Imbalanced Data200910,209
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Cl…20155,051
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning20054,049
Survey on deep learning with class imbalance20192,971
Exploratory Undersampling for Class-Imbalance Learning20082,504
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evalu…20061,854
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
An insight into classification with imbalanced data: Empirical results and current trends…20131,602
Cost-sensitive boosting for classification of imbalanced data20071,438
Mining Multi-label Data20091,410

Links

DOI · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Spam and Phishing DetectionComputer Science
Text and Document Classification TechnologiesComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports62 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 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…