C4.5: Programs for Machine Learning

1992 · 23,704 citations · 48 from inside this corpus

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.

36 of 36 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.

this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

Paper	Year	Cited
SMOTE: Synthetic Minority Over-sampling Technique	2002	32,402
Extremely randomized trees	2006	9,068
Wrappers for feature subset selection	1997	8,991
Text categorization with Support Vector Machines: Learning with many relevant features	1998	8,044
Experiments with a new boosting algorithm	1996	7,582
The use of the area under the ROC curve in the evaluation of machine learning algorithms	1997	7,328
The random subspace method for constructing decision forests	1998	6,904
Multitask Learning	1997	6,478
Bayesian Network Classifiers	1997	4,754
A study of the behavior of several methods for balancing machine learning training data	2004	4,222
Supervised Machine Learning: A Review of Classification Techniques	2007	4,149
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning	2005	4,049
Fast Effective Rule Induction	1995	3,810
ML-KNN: A lazy learning approach to multi-label learning	2007	3,587
A Survey of Outlier Detection Methodologies	2004	3,382
A few useful things to know about machine learning	2012	3,338
Selection of relevant features and examples in machine learning	1997	3,309
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss	1997	3,099
Understanding Machine Learning: From Theory To Algorithms	2015	3,081
Popular Ensemble Methods: An Empirical Study	1999	2,988
A Short Introduction to Boosting	1999	2,952
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…	2011	2,834
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…	1999	2,656
Multi-Label Classification	2007	2,518
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values	1998	2,509
Irrelevant Features and the Subset Selection Problem	1994	2,388
Logistic regression and artificial neural network classification models: a methodology re…	2002	2,201
Using AUC and accuracy in evaluating learning algorithms	2005	2,163
Editorial	2004	2,081
The Boosting Approach to Machine Learning: An Overview	2003	2,023
Natural language processing: an introduction	2011	2,014
Rotation Forest: A New Classifier Ensemble Method	2006	1,911
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance	2009	1,890
CatBoost for big data: an interdisciplinary review	2020	1,776
CLASSIFICATION OF IMBALANCED DATA: A REVIEW	2009	1,713
Machine learning for medical diagnosis: history, state of the art and perspective	2001	1,691

Links

OpenAlex record

Topics

Evolutionary Algorithms and Applications

Computer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

supports1 author record(s) attached.
weakensNo references are recorded despite 23,704 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…