AdaCost: Misclassification Cost-Sensitive Boosting

Distributed Data Mining in Credit Card Fraud Detection

IEEE Intelligent Systems

A Multiple Model Cost-Sensitive Approach for Intrusion Detection

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Class Probability Estimation and Cost-Sensitive Classification Decisions

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

Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting

PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery

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

Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Sequential cost-sensitive decision making with reinforcement learning

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Predicting rare classes: can boosting make any weak learner strong?

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Cost-Sensitive Learning by Cost-Proportionate Example Weighting

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

Editorial: special issue on learning from imbalanced data sets

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

Mining with rarity: a unifying framework

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

Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach

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

An iterative method for multi-class cost-sensitive learning

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Learning policies for sequential time and cost sensitive classification

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

Utility based data mining for time series analysis: cost-sensitive learning for neural network predictors

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

Extracting Actionable Knowledge from Decision Trees

IEEE Transactions on Knowledge and Data Engineering

Time period identification of events in text

ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics

A Real generalization of discrete AdaBoost

Artificial Intelligence

Boosted Classification Trees and Class Probability/Quantile Estimation

The Journal of Machine Learning Research

Techniques for Classifying Executions of Deployed Software to Support Software Engineering Tasks

IEEE Transactions on Software Engineering

Asymmetric boosting

Proceedings of the 24th international conference on Machine learning

Local decomposition for rare class analysis

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Cost-sensitive boosting for classification of imbalanced data

Pattern Recognition

Extending boosting for large scale spoken language understanding

Machine Learning

Floatcascade learning for fast imbalanced web mining

Proceedings of the 17th international conference on World Wide Web

Principled reasoning and practical applications of alert fusion in intrusion detection systems

Proceedings of the 2008 ACM symposium on Information, computer and communications security

Extending boosting for large scale spoken language understanding

Machine Learning

Instance weighting versus threshold adjusting for cost-sensitive classification

Knowledge and Information Systems

Multi-class cost-sensitive boosting with p-norm loss functions

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

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

Utility-Based Regression

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

Credit Card Fraud Detection with Artificial Immune System

ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems

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

Local reweight wrapper for the problem of imbalance

International Journal of Artificial Intelligence and Soft Computing

Highlighting heterogeneous samples to support vector machines' training

Neurocomputing

Handling imbalanced data sets with a modification of Decorate algorithm

International Journal of Computer Applications in Technology

Educational data mining: a case study for predicting dropout-prone students

International Journal of Knowledge Engineering and Soft Data Paradigms

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures

Computers in Biology and Medicine

Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk

IEICE - Transactions on Information and Systems

Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

A hierarchical model for test-cost-sensitive decision systems

Information Sciences: an International Journal

A new marketing strategy map for direct marketing

Knowledge-Based Systems

Cost-Based Sampling of Individual Instances

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

Cost-sensitive learning based on Bregman divergences

Machine Learning

Knowledge discovery from imbalanced and noisy data

Data & Knowledge Engineering

Exploratory undersampling for class-imbalance learning

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

SERA: selectively recursive approach towards nonstationary imbalanced stream data mining

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

COG: local decomposition for rare class analysis

Data Mining and Knowledge Discovery

Minimax classifiers based on neural networks

Pattern Recognition

Cost-sensitive boosting neural networks for software defect prediction

Expert Systems with Applications: An International Journal

CSNL: A cost-sensitive non-linear decision tree algorithm

ACM Transactions on Knowledge Discovery from Data (TKDD)

Predicting bad credit risk: an evolutionary approach

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Boosting support vector machines for imbalanced data sets

ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems

Class-specific error bounds for ensemble classifiers

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Semi-supervised ranking for document retrieval

Computer Speech and Language

RAMOBoost: ranked minority oversampling in boosting

IEEE Transactions on Neural Networks

Towards the Generic Framework for Utility Considerations in Data Mining Research

Proceedings of the 2010 conference on Data Mining for Business Applications

Customer Validation of Commercial Predictive Models

Proceedings of the 2010 conference on Data Mining for Business Applications

Asymmetric totally-corrective boosting for real-time object detection

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I

Borderline over-sampling for imbalanced data classification

International Journal of Knowledge Engineering and Soft Data Paradigms

An extended tuning method for cost-sensitive regression and forecasting

Decision Support Systems

Integrating hierarchical feature selection and classifier training for multi-label image annotation

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Metric anomaly detection via asymmetric risk minimization

SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition

Clustering based bagging algorithm on imbalanced data sets

IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making

On Equivalence Relationships Between Classification and Ranking Algorithms

The Journal of Machine Learning Research

Shedding light on the asymmetric learning capability of AdaBoost

Pattern Recognition Letters

Multiple costs based decision making with back-propagation neural networks

Decision Support Systems

The class imbalance problem in TLC image classification

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II

Using data field to analyze network intrusions

ISPEC'06 Proceedings of the Second international conference on Information Security Practice and Experience

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

Parameter inference of cost-sensitive boosting algorithms

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition

Machine learning on historic air photographs for mapping risk of unexploded bombs

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing

Decision tree classifiers sensitive to heterogeneous costs

Journal of Systems and Software

Relay boost fusion for learning rare concepts in multimedia

CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval

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

Artificial Intelligence in Medicine

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

Decision Support Systems

An efficient ensemble method for classifying skewed data streams

ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications

A measure oriented training scheme for imbalanced classification problems

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

Towards cost-sensitive learning for real-world applications

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

Test-cost-sensitive attribute reduction

Information Sciences: an International Journal

A competition strategy to cost-sensitive decision trees

RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology

DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets

Data & Knowledge Engineering

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

Neurocomputing

Dual support vector domain description for imbalanced classification

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I

A survey of cost-sensitive decision tree induction algorithms

ACM Computing Surveys (CSUR)

Cost-Sensitive Learning via Priority Sampling to Improve the Return on Marketing and CRM Investment

Journal of Management Information Systems

Double-base asymmetric AdaBoost

Neurocomputing

Classification of switching intentions toward internet telephony services: a quantitative analysis

Information Technology and Management

Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients

Applied Soft Computing

Applying Ant Colony Optimization to configuring stacking ensembles for data mining

Expert Systems with Applications: An International Journal

Imbalanced evolving self-organizing learning

Neurocomputing