C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Error reduction through learning multiple descriptions
Machine Learning
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Explicitly representing expected cost: an alternative to ROC representation
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining and Knowledge Discovery
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Detecting Concept Drift with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Intelligent information triage
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluating cost-sensitive Unsolicited Bulk Email categorization
Proceedings of the 2002 ACM symposium on Applied computing
Extracting Context-Sensitive Models in Inductive Logic Programming
Machine Learning
Probabilistic combination of text classifiers using reliability indicators: models and results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Increasing sensitivity of preterm birth by changing rule strengths
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Generating Actionable Knowledge by Expert-Guided Subgroup Discovery
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Boosting Naive Bayes for Claim Fraud Diagnosis
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Combining Decision Trees and Neural Networks for Drug Discovery
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
A Case Study for Learning from Imbalanced Data Sets
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
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
Genetic Programming for Improved Receiver Operating Characteristics
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Evaluating classifiers' performance in a constrained environment
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Tree Induction for Probability-Based Ranking
Machine Learning
Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing
Enterprise information systems IV
Intelligent data analysis
Tree induction vs. logistic regression: a learning-curve analysis
The Journal of Machine Learning Research
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Information awareness: a prospective technical assessment
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis
IEEE Transactions on Knowledge and Data Engineering
"In vivo" spam filtering: a challenge problem for KDD
ACM SIGKDD Explorations Newsletter
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
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
Minority report in fraud detection: classification of skewed data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Cyclic pattern kernels for predictive graph mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to detect malicious executables in the wild
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A DEA approach for model combination
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning Bayesian network classifiers by maximizing conditional likelihood
ICML '04 Proceedings of the twenty-first international conference on Machine learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Kernels and Distances for Structured Data
Machine Learning
Coordinated internet attacks: responding to attack complexity
Journal of Computer Security
The Combination of Text Classifiers Using Reliability Indicators
Information Retrieval
Frequent Substructure-Based Approaches for Classifying Chemical Compounds
IEEE Transactions on Knowledge and Data Engineering
Automatic summarization of voicemail messages using lexical and prosodic features
ACM Transactions on Speech and Language Processing (TSLP)
Combining email models for false positive reduction
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Local sparsity control for naive Bayes with extreme misclassification costs
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Feature bagging for outlier detection
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Enhancing the lift under budget constraints: an application in the mutual fund industry
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
A ROC-based reject rule for dichotomizers
Pattern Recognition Letters
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Ordering and Finding the Best of K2 Supervised Learning Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting urbanization changes using SPOT5
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Mining citizen science data to predict orevalence of wild bird species
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Quantitative pharmacophore models with inductive logic programming
Machine Learning
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
ROC graphs with instance-varying costs
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Exploiting AUC for optimal linear combinations of dichotomizers
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Content based SMS spam filtering
Proceedings of the 2006 ACM symposium on Document engineering
Classifier evaluation under limited resources
Pattern Recognition Letters
Multi-paradigm learning of declarative models: Thesis
AI Communications
Learning Greek verb complements: addressing the class imbalance
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A description of competing fusion systems
Information Fusion
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
International Journal of Computer Vision
Intrusion detection in web applications using text mining
Engineering Applications of Artificial Intelligence
Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis
Information Sciences: an International Journal
Considering Cost Asymmetry in Learning Classifiers
The Journal of Machine Learning Research
Learning to Detect and Classify Malicious Executables in the Wild
The Journal of Machine Learning Research
Minimax Regret Classifier for Imprecise Class Distributions
The Journal of Machine Learning Research
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Machine Learning
Bootstrap FDA for counting positives accurately in imprecise environments
Pattern Recognition
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
Approximating the multiclass ROC by pairwise analysis
Pattern Recognition Letters
Improving defect prediction using temporal features and non linear models
Ninth international workshop on Principles of software evolution: in conjunction with the 6th ESEC/FSE joint meeting
Maximizing the area under the ROC curve by pairwise feature combination
Pattern Recognition
Learning verb complements for modern greek: Balancing the noisy dataset
Natural Language Engineering
On the scalability of ordered multi-class ROC analysis
Computational Statistics & Data Analysis
New probabilistic interest measures for association rules
Intelligent Data Analysis
On reoptimizing multi-class classifiers
Machine Learning
Selective costing voting for bankruptcy prediction
International Journal of Knowledge-based and Intelligent Engineering Systems
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
An information granulation based data mining approach for classifying imbalanced data
Information Sciences: an International Journal
About the relationship between ROC curves and Cohen's kappa
Engineering Applications of Artificial Intelligence
Cost-sensitive multi-class classification from probability estimates
Proceedings of the 25th international conference on Machine learning
The Journal of Machine Learning Research
RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING
Applied Artificial Intelligence
A critical analysis of variants of the AUC
Machine Learning
Maximizing area under ROC curve for biometric scores fusion
Pattern Recognition
Maximizing classifier utility when there are data acquisition and modeling costs
Data Mining and Knowledge Discovery
PRIE: a system for generating rulelists to maximize ROC performance
Data Mining and Knowledge Discovery
Quantifying counts and costs via classification
Data Mining and Knowledge Discovery
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Outlier Detection with Kernel Density Functions
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
An Improved Model Selection Heuristic for AUC
ECML '07 Proceedings of the 18th European conference on Machine Learning
A Simple Lexicographic Ranker and Probability Estimator
ECML '07 Proceedings of the 18th European conference on Machine Learning
Classification of Anti-learnable Biological and Synthetic Data
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
A Comparison of Two Approaches to Classify with Guaranteed Performance
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Continuity of Performance Metrics for Thin Feature Maps
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Using granular computing model to induce scheduling knowledge in dynamic manufacturing environments
International Journal of Computer Integrated Manufacturing
Artificial Intelligence Review
Local reweight wrapper for the problem of imbalance
International Journal of Artificial Intelligence and Soft Computing
Incorporating domain knowledge into data mining classifiers: An application in indirect lending
Decision Support Systems
Selection of human embryos for transfer by Bayesian classifiers
Computers in Biology and Medicine
Handling imbalanced data sets with a modification of Decorate algorithm
International Journal of Computer Applications in Technology
Predicting Category Additions in a Topic Hierarchy
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
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
Classification algorithm sensitivity to training data with non representative attribute noise
Decision Support Systems
Multi-Relational Classification in Imbalanced Domains
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
A quality-aware optimizer for information extraction
ACM Transactions on Database Systems (TODS)
MDS: a novel method for class imbalance learning
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Information Market-Based Decision Fusion
Management Science
The ROC isometrics approach to construct reliable classifiers
Intelligent Data Analysis
Quantification and semi-supervised classification methods for handling changes in class distribution
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A penalized likelihood based pattern classification algorithm
Pattern Recognition
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Improving Classification under Changes in Class and Within-Class Distributions
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
B-ROC curves for the assessment of classifiers over imbalanced data sets
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Cost-sensitive learning based on Bregman divergences
Machine Learning
SMOTE: synthetic minority over-sampling technique
Journal of Artificial Intelligence Research
Learning when training data are costly: the effect of class distribution on tree induction
Journal of Artificial Intelligence Research
Learning from labeled and unlabeled data: an empirical study across techniques and domains
Journal of Artificial Intelligence Research
Integrating learning from examples into the search for diagnostic policies
Journal of Artificial Intelligence Research
Expert-guided subgroup discovery: methodology and application
Journal of Artificial Intelligence Research
Troika - An improved stacking schema for classification tasks
Information Sciences: an International Journal
Repairing concavities in ROC curves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
ROCCER: an algorithm for rule learning based on ROC analysis
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Evolutionary sampling and software quality modeling of high-assurance systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Global Intensity Correction in Dynamic Scenes
International Journal of Computer Vision
A hybrid approach for efficient ensembles
Decision Support Systems
An empirical comparison of repetitive undersampling techniques
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
Document categorization algorithm based on kernel NPE
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Information Sciences: an International Journal
Improving software-quality predictions with data sampling and boosting
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Evolutionary data analysis for the class imbalance problem
Intelligent Data Analysis
Selective costing ensemble for handling imbalanced data sets
International Journal of Hybrid Intelligent Systems
An investigation of neural network classifiers with unequal misclassification costs and group sizes
Decision Support Systems
Minimax classifiers based on neural networks
Pattern Recognition
A symbolic fault-prediction model based on multiobjective particle swarm optimization
Journal of Systems and Software
Exploiting diversity in ensembles: improving the performance on unbalanced datasets
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
RSD: relational subgroup discovery through first-order feature construction
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Comparison of adaboost and genetic programming for combining neural networks for drug discovery
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Combining SVM classifiers for email anti-spam filtering
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Modelling a team of radiologists for lung nodule detection in CT scans
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
The ROC skeleton for multiclass ROC estimation
Pattern Recognition Letters
ODDC: outlier detection using distance distribution clustering
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Cost-sensitive classifier evaluation using cost curves
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Assessing the impact of changing environments on classifier performance
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
The creation and evaluation of iSPARQL strategies for matchmaking
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Adding data mining support to SPARQL via statistical relational learning methods
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Exploring multi-objective PSO and GRASP-PR for rule induction
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
IEEE Transactions on Neural Networks
Semantic web enabled software analysis
Web Semantics: Science, Services and Agents on the World Wide Web
New perspectives and methods in link prediction
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A transitivity analysis of bipartite rankings in pairwise multi-class classification
Information Sciences: an International Journal
Probabilistic declarative process mining
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
RAMOBoost: ranked minority oversampling in boosting
IEEE Transactions on Neural Networks
Analysis of area under the ROC curve of energy detection
IEEE Transactions on Wireless Communications
Domain driven data mining for unavailability estimation of electrical power grids
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
The Journal of Machine Learning Research
On the ERA ranking representability of pairwise bipartite ranking functions
Artificial Intelligence
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
Comparative algorithms for oil spill detection from multi mode RADARSAT-1 SAR satellite data
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
A unifying view on dataset shift in classification
Pattern Recognition
Application and evaluation of inductive reasoning methods for the semantic web and software analysis
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Using OVA modeling to improve classification performance for large datasets
Expert Systems with Applications: An International Journal
Relational learning: statistical approach versus logical approach in document image understanding
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Combining accuracy and prior sensitivity for classifier design under prior uncertainty
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Rule learning for disease-specific biomarker discovery from clinical proteomic mass spectra
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
An imbalanced data rule learner
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Integrated approach to detect inconspicuous contents
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Reinventing machine learning with ROC analysis
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Optimising two-stage recognition systems
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Estimating the ROC curve of linearly combined dichotomizers
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Subgroup discovery techniques and applications
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
An online AUC formulation for binary classification
Pattern Recognition
Relevancy in constraint-based subgroup discovery
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Robustness of classifiers to changing environments
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
A bayesian metric for evaluating machine learning algorithms
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Cost-Sensitive design of claim fraud screens
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
Advances on automated multiple view inspection
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Handling concept drift via ensemble and class distribution estimation technique
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
An empirical evaluation of bagging with different algorithms on imbalanced data
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Feature selection for MAUC-oriented classification systems
Neurocomputing
The problem of bias in training data in regression problems in medical decision support
Artificial Intelligence in Medicine
The AUK: A simple alternative to the AUC
Engineering Applications of Artificial Intelligence
Time variance and defect prediction in software projects
Empirical Software Engineering
Fusion of biometric systems using Boolean combination: an application to iris-based authentication
International Journal of Biometrics
Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Graph-Based relational learning with a polynomial time projection algorithm
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Bridging concept identification for constructing information networks from text documents
Bisociative Knowledge Discovery
Learning from Skewed Class Multi-relational Databases
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Class distribution estimation based on the Hellinger distance
Information Sciences: an International Journal
Gravitation based classification
Information Sciences: an International Journal
Failure prediction based on log files using Random Indexing and Support Vector Machines
Journal of Systems and Software
Evaluating question answering validation as a classification problem
Language Resources and Evaluation
Enhanced spatiotemporal relational probability trees and forests
Data Mining and Knowledge Discovery
Fuzzy one-class classification model using contamination neighborhoods
Advances in Fuzzy Systems
The design of polynomial function-based neural network predictors for detection of software defects
Information Sciences: an International Journal
Decision trees: a recent overview
Artificial Intelligence Review
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A new probabilistic active sample selection algorithm for class imbalance problem
International Journal of Knowledge Engineering and Soft Data Paradigms
Empirical study of bagging predictors on medical data
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Robust novelty detection in the framework of a contamination neighbourhood
International Journal of Intelligent Information and Database Systems
Robust novelty detection in the framework of a contamination neighbourhood
International Journal of Intelligent Information and Database Systems
The Journal of Machine Learning Research
Assessing scorecard performance: A literature review and classification
Expert Systems with Applications: An International Journal
Robust predictive model for evaluating breast cancer survivability
Engineering Applications of Artificial Intelligence
Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining
INFORMS Journal on Computing
Information Sciences: an International Journal
Information Sciences: an International Journal
Imbalanced evolving self-organizing learning
Neurocomputing
ROC analysis of classifiers in machine learning: A survey
Intelligent Data Analysis
Hi-index | 0.03 |
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building robust classification systems problematic. We show that it is possible to build a hybrid classifier that will perform at least as well as the best available classifier for any target conditions. In some cases, the performance of the hybrid actually can surpass that of the best known classifier. This robust performance extends across a wide variety of comparison frameworks, including the optimization of metrics such as accuracy, expected cost, lift, precision, recall, and workforce utilization. The hybrid also is efficient to build, to store, and to update. The hybrid is based on a method for the comparison of classifier performance that is robust to imprecise class distributions and misclassification costs. The ROC convex hull (ROCCH) method combines techniques from ROC analysis, decision analysis and computational geometry, and adapts them to the particulars of analyzing learned classifiers. The method is efficient and incremental, minimizes the management of classifier performance data, and allows for clear visual comparisons and sensitivity analyses. Finally, we point to empirical evidence that a robust hybrid classifier indeed is needed for many real-world problems.