Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria

Class Probability Estimation and Cost-Sensitive Classification Decisions

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Gradient Descent Style Leveraging of Decision Trees and Stumps for Misclassification Cost Performance

AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Stacking for Misclassification Cost Performance

AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence

A Study on the Effect of Class Distribution Using Cost-Sensitive Learning

DS '02 Proceedings of the 5th International Conference on Discovery Science

Tree Induction for Probability-Based Ranking

Machine Learning

Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distribution

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Cost-Sensitive Learning by Cost-Proportionate Example Weighting

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Mining with rarity: a unifying framework

ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets

KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution

IEEE Transactions on Knowledge and Data Engineering

Cost-sensitive classifier evaluation

UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining

Cost curves: An improved method for visualizing classifier performance

Machine Learning

The feasibility of constructing a Predictive Outcome Model for breast cancer using the tools of data mining

Expert Systems with Applications: An International Journal

Extending boosting for large scale spoken language understanding

Machine Learning

AdaBoost with SVM-based component classifiers

Engineering Applications of Artificial Intelligence

Extending boosting for large scale spoken language understanding

Machine Learning

Instance weighting versus threshold adjusting for cost-sensitive classification

Knowledge and Information Systems

Cost-Sensitive Decision Trees with Pre-pruning

CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence

Decision Tree Instability and Active Learning

ECML '07 Proceedings of the 18th European conference on Machine Learning

Roulette Sampling for Cost-Sensitive Learning

ECML '07 Proceedings of the 18th European conference on Machine Learning

Utility-Based Regression

PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

CTC: An Alternative to Extract Explanation from Bagging

Current Topics in Artificial Intelligence

Learning Decision Trees for Unbalanced Data

ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I

Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence

Cost-Based Sampling of Individual Instances

Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence

Thresholding for making classifiers cost-sensitive

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Learning when training data are costly: the effect of class distribution on tree induction

Journal of Artificial Intelligence Research

The foundations of cost-sensitive learning

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

A new information measure based on example-dependent misclassification costs and its application in decision tree learning

Advances in Artificial Intelligence

Taking class importance into account

ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology

Adapting cost-sensitive learning for reject option

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management

Obtaining optimal class distribution for decision trees: comparative analysis of CTC and C4.5

CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence

An extended tuning method for cost-sensitive regression and forecasting

Decision Support Systems

Classifying severely imbalanced data

Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence

Predict on-shelf product availability in grocery retailing with classification methods

Expert Systems with Applications: An International Journal

Consolidated trees: classifiers with stable explanation. a model to achieve the desired stability in explanation

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I

Multiple costs based decision making with back-propagation neural networks

Decision Support Systems

Consolidated trees: an analysis of structural convergence

Data Mining

Hellinger distance decision trees are robust and skew-insensitive

Data Mining and Knowledge Discovery

Cost-sensitive ensemble of support vector machines for effective detection of microcalcification in breast cancer diagnosis

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II

CSDTM a cost sensitive decision tree based method

ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems

Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers

Artificial Intelligence in Medicine

Discriminative vs. generative classifiers for cost sensitive learning

AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence

A cost-sensitive technique for positive-example learning supporting content-based product recommendations in B-to-C e-commerce

Decision Support Systems

Towards cost-sensitive learning for real-world applications

PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining

Cost-sensitive decision trees applied to medical data

DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery

ACOSampling: An ant colony optimization-based undersampling method for classifying imbalanced DNA microarray data

Neurocomputing

A new evaluation measure for imbalanced datasets

AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87

A cost-sensitive decision tree approach for fraud detection

Expert Systems with Applications: An International Journal