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Keyword

cost-sensitive classification

Description: A classification approach that incorporates differing costs for misclassification, correct decisions, or acquiring information into model decisions.
OpenAlex ID: keywords/cost-sensitive-classification
SMOTE: Synthetic Minority Over-sampling Technique
2002 · N. V. Chawla, K. W. Bowyer, et al. · Journal of Artificial Intelligence Research · 32,521
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MetaCost
1999 · Pedro Domingos · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,303
Measuring classifier performance: a coherent alternative to the area under the ROC curve
2009 · David J. Hand · Machine Learning · 1,003
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A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction
2008 · Raimund Moser, Witold Pedrycz, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 710
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
2001 · Bianca Zadrozny, Charles Elkan · 684
The superiority of three-way decisions in probabilistic rough set models
2010 · Yiyu Yao · Information Sciences · 683
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
1995 · P. D. Turney · Journal of Artificial Intelligence Research · 570
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Minority report in fraud detection
2004 · Clifton Phua, Damminda Alahakoon, et al. · ACM SIGKDD Explorations Newsletter · 450
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
2014 · Yudong Zhang, Shuihua Wang, et al. · Knowledge-Based Systems · 431
A cost-sensitive decision tree approach for fraud detection
2013 · Yusuf Sahin, Serol Bulkan, et al. · Expert Systems with Applications · 382
A Reductions Approach to Fair Classification
2018 · Agarwal, Alekh, Beygelzimer, Alina, et al. · arXiv (Cornell University) · 364
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Support Vector Machines for Classification in Nonstandard Situations
2002 · Yi Lin, Yoonkyung Lee, et al. · Machine Learning · 348
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Reducing Misclassification Costs
1994 · Michael Pazzani, Christopher Merz, et al. · Elsevier eBooks · 347
Cost curves: An improved method for visualizing classifier performance
2006 · Chris Drummond, Robert C. Holte · Machine Learning · 325
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Comparison of classification accuracy using Cohen’s Weighted Kappa
2006 · A BENDAVID · Expert Systems with Applications · 319
Transaction aggregation as a strategy for credit card fraud detection
2008 · C. Whitrow, D. J. Hand, et al. · Data Mining and Knowledge Discovery · 305
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
2014 · Agarwal, Alekh, Hsu, Daniel, et al. · arXiv (Cornell University) · 286
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Cost-Sensitive Learning with Neural Networks.
1998 · Matjaž Kukar, Igor Kononenko · 273
A Comparative Study of Cost-Sensitive Boosting Algorithms
2000 · Kai Ming Ting · 264
ROC ?n? Rule Learning?Towards a Better Understanding of Covering Algorithms
2005 · Johannes F�rnkranz, Peter A. Flach · Machine Learning · 230
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Cost-sensitive support vector machines
2019 · Arya Iranmehr, Hamed Masnadi-Shirazi, et al. · Neurocomputing · 220
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
2012 · Carlos Márquez-Vera, Alberto Cano, et al. · Applied Intelligence · 220
Classifier calibration: a survey on how to assess and improve predicted class probabilities
2023 · Telmo Silva Filho, Hao Song, et al. · Machine Learning · 212
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Toward intelligent assistance for a data mining process: an ontology-based approach for cost-sensitive classification
2005 · A. Bernstein, F. Provost, et al. · IEEE Transactions on Knowledge and Data Engineering · 194
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Cost-sensitive three-way email spam filtering
2013 · Bing Zhou, Yiyu Yao, et al. · Journal of Intelligent Information Systems · 191
Works count: 1,378
Citation count: 60,310
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