MetaCost: a general method for making classifiers cost-sensitive

Explicitly representing expected cost: an alternative to ROC representation

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

Robust Classification for Imprecise Environments

Machine Learning

Learning and making decisions when costs and probabilities are both unknown

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

Evaluating cost-sensitive Unsolicited Bulk Email categorization

Proceedings of the 2002 ACM symposium on Applied computing

Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking

Information Retrieval

Toward cost-sensitive modeling for intrusion detection and response

Journal of Computer Security

An Empirical Study of MetaCost Using Boosting Algorithms

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

A Multiple Model Cost-Sensitive Approach for Intrusion Detection

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

Classification on Data with Biased Class Distribution

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Class Probability Estimation and Cost-Sensitive Classification Decisions

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

Using Hard Classifiers to Estimate Conditional Class Probabilities

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

Profit Mining: From Patterns to Actions

EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology

A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets

IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis

An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Sequential cost-sensitive decision making with reinforcement learning

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

Pruning and dynamic scheduling of cost-sensitive ensembles

Eighteenth national conference on Artificial intelligence

Data mining tasks and methods: Classification: decision-tree discovery

Handbook of data mining and knowledge discovery

From discovered knowledge to decisionmaking

Handbook of data mining and knowledge discovery

Machine learning

Handbook of data mining and knowledge discovery

Tree Induction for Probability-Based Ranking

Machine Learning

Complexity in the case against accuracy estimation

Theoretical Computer Science

Improved Rooftop Detection in Aerial Images with Machine Learning

Machine Learning

Active Sampling for Feature Selection

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

Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning

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

To buy or not to buy: mining airfare data to minimize ticket purchase price

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

XRules: an effective structural classifier for XML data

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

Editorial: special issue on learning from imbalanced data sets

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

A study of the behavior of several methods for balancing machine learning training data

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

Minority report in fraud detection: classification of skewed data

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

Adversarial classification

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

Decision trees with minimal costs

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Classification and knowledge discovery in protein databases

Journal of Biomedical Informatics - Special issue: Biomedical machine learning

Mining Customer Value: From Association Rules to Direct Marketing

Data Mining and Knowledge Discovery

A feature selection technique for classificatory analysis

Pattern Recognition Letters

Learning policies for sequential time and cost sensitive classification

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

Improving classifier utility by altering the misclassification cost ratio

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

One-Benefit learning: cost-sensitive learning with restricted cost information

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

"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees

IEEE Transactions on Knowledge and Data Engineering

Error limiting reductions between classification tasks

ICML '05 Proceedings of the 22nd international conference on Machine learning

A model for handling approximate, noisy or incomplete labeling in text classification

ICML '05 Proceedings of the 22nd international conference on Machine learning

Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem

IEEE Transactions on Knowledge and Data Engineering

Handling Generalized Cost Functions in the Partitioning Optimization Problem through Sequential Binary Programming

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

XRules: An effective algorithm for structural classification of XML data

Machine Learning

Combining text and heuristics for cost-sensitive spam filtering

ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7

A mixture-of-experts framework for text classification

ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7

Hybrid approaches for classification under information acquisition cost constraint

Decision Support Systems

Test-Cost Sensitive Classification on Data with Missing Values

IEEE Transactions on Knowledge and Data Engineering

Cost-sensitive learning with conditional Markov networks

ICML '06 Proceedings of the 23rd international conference on Machine learning

Feature value acquisition in testing: a sequential batch test algorithm

ICML '06 Proceedings of the 23rd international conference on Machine learning

Maximum profit mining and its application in software development

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Test Strategies for Cost-Sensitive Decision Trees

IEEE Transactions on Knowledge and Data Engineering

Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering

IEEE Transactions on Knowledge and Data Engineering

An introduction to ROC analysis

Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition

ROC curves and video analysis optimization in intestinal capsule endoscopy

Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition

Cost curves: An improved method for visualizing classifier performance

Machine Learning

Content based SMS spam filtering

Proceedings of the 2006 ACM symposium on Document engineering

Extracting Actionable Knowledge from Decision Trees

IEEE Transactions on Knowledge and Data Engineering

Learning Greek verb complements: addressing the class imbalance

COLING '04 Proceedings of the 20th international conference on Computational Linguistics

Focusing on non-respondents: Response modeling with novelty detectors

Expert Systems with Applications: An International Journal

Metadata and its impact on libraries: Book Reviews

Journal of the American Society for Information Science and Technology

Enhancing software quality estimation using ensemble-classifier based noise filtering

Intelligent Data Analysis

Evaluating noise elimination techniques for software quality estimation

Intelligent Data Analysis

Conflict-sensitivity contexture learning algorithm for mining interesting patterns using neuro-fuzzy network with decision rules

Expert Systems with Applications: An International Journal

Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases

IEEE Intelligent Systems

Asymmetric boosting

Proceedings of the 24th international conference on Machine learning

Classification by ensembles from random partitions of high-dimensional data

Computational Statistics & Data Analysis

Partial example acquisition in cost-sensitive learning

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

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

The class imbalance problem: A systematic study

Intelligent Data Analysis

Iterative Bayes

Intelligent Data Analysis

Extending boosting for large scale spoken language understanding

Machine Learning

Using classifier ensembles to label spatially disjoint data

Information Fusion

Learning on the border: active learning in imbalanced data classification

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Learning verb complements for modern greek: Balancing the noisy dataset

Natural Language Engineering

Knowledge actionability: satisfying technical and business interestingness

International Journal of Business Intelligence and Data Mining

Classification of intrusion detection alerts using abstaining classifiers

Intelligent Data Analysis

Selective costing voting for bankruptcy prediction

International Journal of Knowledge-based and Intelligent Engineering Systems

General solution and learning method for binary classification with performance constraints

Pattern Recognition Letters

Extending boosting for large scale spoken language understanding

Machine Learning

Risk prediction and risk factors identification from imbalanced data with RPMBGA+

Proceedings of the 10th annual conference companion on Genetic and evolutionary computation

Instance weighting versus threshold adjusting for cost-sensitive classification

Knowledge and Information Systems

Cost-sensitive multi-class classification from probability estimates

Proceedings of the 25th international conference on Machine learning

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems

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

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

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

Get another label? improving data quality and data mining using multiple, noisy labelers

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

Automatically countering imbalance and its empirical relationship to cost

Data Mining and Knowledge Discovery

Cost-sensitive learning with conditional Markov networks

Data Mining and Knowledge Discovery

Evolutionary Induction of Decision Trees for Misclassification Cost Minimization

ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I

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

Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks

CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI

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

Reducing False Alarm of Video-Based Smoke Detection by Support Vector Machine

PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics

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

Using Cost-Sensitive Learning to Determine Gene Conversions

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

Imbalanced SVM Learning with Margin Compensation

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks

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

Multirelational classification: a multiple view approach

Knowledge and Information Systems

Handling imbalanced data sets with a modification of Decorate algorithm

International Journal of Computer Applications in Technology

Reinforcement Learning with the Use of Costly Features

Recent Advances in Reinforcement Learning

A New Performance Evaluation Method for Two-Class Imbalanced Problems

SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Learning from Skewed Class Multi-relational Databases

Fundamenta Informaticae - Progress on Multi-Relational Data Mining

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

International Journal of Knowledge Engineering and Soft Data Paradigms

Building a cost-constrained decision tree with multiple condition attributes

Information Sciences: an International Journal

Information Extraction

Foundations and Trends in Databases

The effect of borderline examples on language learning

Journal of Experimental & Theoretical Artificial Intelligence

A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning

Pattern Recognition

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 new marketing strategy map for direct marketing

Knowledge-Based Systems

Tuning Data Mining Methods for Cost-Sensitive Regression: A Study in Loan Charge-Off Forecasting

Journal of Management Information Systems

Cost-Based Sampling of Individual Instances

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

Towards Business Interestingness in Actionable Knowledge Discovery

Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance

A Weighted Rough Set Approach for Cost-Sensitive Learning

RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

Thresholding for making classifiers cost-sensitive

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

On multi-class cost-sensitive learning

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

A Hybrid Approach Handling Imbalanced Datasets

ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing

Stochastic optimization for collision selection in high energy physics

IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2

SemEval-2010 task 7: argument selection and coercion

DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions

SMOTE: synthetic minority over-sampling technique

Journal of Artificial Intelligence Research

Integrating learning from examples into the search for diagnostic policies

Journal of Artificial Intelligence Research

Anytime induction of low-cost, low-error classifiers: a sampling-based approach

Journal of Artificial Intelligence Research

An empirical study of the noise impact on cost-sensitive learning

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Learning from imbalanced data in surveillance of nosocomial infection

Artificial Intelligence in Medicine

Machine learning for event selection in high energy physics

Engineering Applications of Artificial Intelligence

Margin calibration in SVM class-imbalanced learning

Neurocomputing

Exploratory undersampling for class-imbalance learning

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

Adaptive Anomaly Detection via Self-calibration and Dynamic Updating

RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection

Precision and Recall for Regression

DS '09 Proceedings of the 12th International Conference on Discovery Science

Learning term-weighting functions for similarity measures

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2

Hybrid approaches for classification under information acquisition cost constraint

Decision Support Systems

Handling class imbalance problem in cultural modeling

ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets

Information Sciences: an International Journal

A data-driven approach to manage the length of stay for appendectomy patients

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Measuring the expected gain of communicating constraint information

Multiagent and Grid Systems - Planning in multiagent systems

Selective costing ensemble for handling imbalanced data sets

International Journal of Hybrid Intelligent Systems

COG: local decomposition for rare class analysis

Data Mining and Knowledge Discovery

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

ACM Transactions on Knowledge Discovery from Data (TKDD)

Risk neutral calibration of classifiers

AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence

Online rare events detection

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

A large-scale active learning system for topical categorization on the web

Proceedings of the 19th international conference on World wide web

Cost-time sensitive decision tree with missing values

KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management

Integrating decision tree learning into inductive databases

KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases

An unbalanced data classification model using hybrid sampling technique for fraud detection

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence

An empirical study of the behavior of classifiers on imbalanced and overlapped data sets

CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications

Class-oriented reduction of decision tree complexity

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

A comparison of different off-centered entropies to deal with class imbalance for decision trees

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

Cost-sensitive classification with respect to waiting cost

Knowledge-Based Systems

Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning

Journal of Systems and Software

Large margin cost-sensitive learning of conditional random fields

Pattern Recognition

Optimizing debt collections using constrained reinforcement learning

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

Learning with cost intervals

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

Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance

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

A scalable intelligent non-content-based spam-filtering framework

Expert Systems with Applications: An International Journal

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets

Pattern Recognition Letters

Social sensing for epidemiological behavior change

Proceedings of the 12th ACM international conference on Ubiquitous computing

Empirical system learning for statistical pattern recognition with non-uniform error criteria

IEEE Transactions on Signal Processing

Adapting cost-sensitive learning for reject option

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

A decision support system for cost-effective diagnosis

Artificial Intelligence in Medicine

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

Test-cost sensitive classification on data with missing values in the limited time

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I

Abnormality detection for improving elder's daily life independent

ICOST'10 Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics

Facing reality: simulating deployment of anger recognition in IVR systems

IWSDS'10 Proceedings of the Second international conference on Spoken dialogue systems for ambient environments

Detecting duplicate web documents using clickthrough data

Proceedings of the fourth ACM international conference on Web search and data mining

Detecting and ordering salient regions

Data Mining and Knowledge Discovery

Using genetic K-means algorithm for PCA regression data in customer churn prediction

ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II

Using PCA to predict customer churn in telecommunication dataset

ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II

Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds

The Journal of Machine Learning Research

Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis

Artificial Intelligence in Medicine

Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data

Journal of Biomedical Informatics

Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data

International Journal of Approximate Reasoning

An extended tuning method for cost-sensitive regression and forecasting

Decision Support Systems

Software defect detection with rocus

Journal of Computer Science and Technology

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction

Expert Systems with Applications: An International Journal

A comparative analysis of methods for probability estimation tree

WSEAS Transactions on Computers

Tuned data mining: a benchmark study on different tuners

Proceedings of the 13th annual conference on Genetic and evolutionary computation

That's what she said: double entendre identification

HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2

Maximal-margin approach for cost-sensitive learning based on scaled convex hull

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I

Classifying severely imbalanced data

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

Search-based structured prediction applied to biomedical event extraction

CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning

Information, Divergence and Risk for Binary Experiments

The Journal of Machine Learning Research

Addressing the classification with imbalanced data: open problems and new challenges on class distribution

HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I

Improving k nearest neighbor with exemplar generalization for imbalanced classification

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II

Fast data acquisition in cost-sensitive learning

ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects

Metric anomaly detection via asymmetric risk minimization

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

Rule stacking: an approach for compressing an ensemble of rule sets into a single classifier

DS'11 Proceedings of the 14th international conference on Discovery science

Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost

Expert Systems with Applications: An International Journal

Evolutionary induction of cost-sensitive decision trees

ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems

Optimisation and evaluation of random forests for imbalanced datasets

ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems

Cost-Sensitive learning of SVM for ranking

ECML'06 Proceedings of the 17th European conference on Machine Learning

Hybrid cost-sensitive decision tree

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases

An imbalanced data rule learner

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases

Preprocessing time series data for classification with application to CRM

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

Cost-Sensitive access control for illegitimate confidential access by insiders

ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics

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

Simple test strategies for cost-sensitive decision trees

ECML'05 Proceedings of the 16th European conference on Machine Learning

Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

Expert Systems with Applications: An International Journal

Decision tree classifiers sensitive to heterogeneous costs

Journal of Systems and Software

Cost-sensitive classification with inadequate labeled data

Information Systems

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

Combined effects of class imbalance and class overlap on instance-based classification

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Preprocessing unbalanced data using support vector machine

Decision Support Systems

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 tree for uncertain data

ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I

Cost-sensitive classification with unconstrained influence diagrams

SOFSEM'12 Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

Applied Intelligence

Diagnosis of gastric carcinoma by classification on feature projections

Artificial Intelligence in Medicine

Comparison of cost for zero-one and stage-dependent fuzzy loss function

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I

Reliable agnostic learning

Journal of Computer and System Sciences

A simple methodology for soft cost-sensitive classification

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

Building decision trees for the multi-class imbalance problem

PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I

Building cost-sensitive decision trees for medical applications

AI Communications

Learning from Skewed Class Multi-relational Databases

Fundamenta Informaticae - Progress on Multi-Relational Data Mining

Forecasting fraudulent financial statements with committee of cost-sensitive decision tree classifiers

SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications

Forecasting corporate bankruptcy with an ensemble of classifiers

SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications

Cost-Sensitive self-training

Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence

Recall-oriented learning of named entities in Arabic Wikipedia

EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

Detecting ECG abnormalities via transductive transfer learning

Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine

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

The CASH algorithm-cost-sensitive attribute selection using histograms

Information Sciences: an International Journal

Intrusion detection in MANET using classification algorithms: The effects of cost and model selection

Ad Hoc Networks

SNEOM: a sanger network based extended over-sampling method. application to imbalanced biomedical datasets

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV

A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios

Pattern Recognition Letters

A survey of cost-sensitive decision tree induction algorithms

ACM Computing Surveys (CSUR)

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

Knowledge-Based Systems

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

Journal of Management Information Systems

An empirical study of learning from imbalanced data

ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis

International Journal of Knowledge Discovery in Bioinformatics

Temporal classifiers for predicting the expansion of medical subject headings

CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I

A cost-sensitive decision tree approach for fraud detection

Expert Systems with Applications: An International Journal

Predicting user activity level in social networks

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

Cost-sensitive learning for large-scale hierarchical classification

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

Classification model for detecting and managing credit loan fraud based on individual-level utility concept

ACM SIGMIS Database

Classification model for detecting and managing credit loan fraud based on individual-level utility concept

ACM SIGMIS Database

A comparison of selected simple supervised learning algorithms to predict driver intent based on gaze data

Neurocomputing

Classification and outlier detection based on topic based pattern synthesis

MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition

Editorial: Parameter-free classification in multi-class imbalanced data sets

Data & Knowledge Engineering

Remote patient monitoring: what impact can data analytics have on cost?

Proceedings of the 4th Conference on Wireless Health

A misclassification cost risk bound based on hybrid particle swarm optimization heuristic

Expert Systems with Applications: An International Journal

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed

Information Sciences: an International Journal

Cost-sensitive ordinal regression for fully automatic facial beauty assessment

Neurocomputing

Repeated labeling using multiple noisy labelers

Data Mining and Knowledge Discovery

Influence of class distribution on cost-sensitive learning: A case study of bankruptcy analysis

Intelligent Data Analysis