Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Explicitly biased generalization
Computational Intelligence
Cost-sensitive concept learning of sensor use in approach and recognition
Proceedings of the sixth international workshop on Machine learning
Instance-Based Learning Algorithms
Machine Learning
Letter Recognition Using Holland-Style Adaptive Classifiers
Machine Learning
The Use of Background Knowledge in Decision Tree Induction
Machine Learning
A method for inductive cost optimization
EWSL-91 Proceedings of the European working session on learning on Machine learning
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
C4.5: programs for machine learning
C4.5: programs for machine learning
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Genetic Reinforcement Learning for Neurocontrol Problems
Machine Learning - Special issue on genetic algorithms
Cost-sensitive pruning of decision trees
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Technical Note: Bias and the Quantification of Stability
Machine Learning - Special issue on bias evaluation and selection
Inductive Policy: The Pragmatics of Bias Selection
Machine Learning - Special issue on bias evaluation and selection
Introduction: The Challenge of Reinforcement Learning
Machine Learning
Learning Sequential Decision Rules Using Simulation Models and Competition
Machine Learning - Special issue on genetic algorithms
Classifier Systems and the Animat Problem
Machine Learning
Lamarckian Evolution, The Baldwin Effect and Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
Evolutionary Computation
Artificial Intelligence Review - Special issue on lazy learning
Mining in a data-flow environment: experience in network intrusion detection
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning
Machine Learning - Special issue on multistrategy learning
AuGEAS: authoritativeness grading, estimation, and sorting
Proceedings of the eleventh international conference on Information and knowledge management
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
A reduction algorithm meeting users' requirements
Journal of Computer Science and Technology
Sequential Decision Models for Expert System Optimization
IEEE Transactions on Knowledge and Data Engineering
Debiasing Training Data for Inductive Expert System Construction
IEEE Transactions on Knowledge and Data Engineering
An Instance-Weighting Method to Induce Cost-Sensitive Trees
IEEE Transactions on Knowledge and Data Engineering
Learning cost-sensitive active classifiers
Artificial Intelligence
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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
DS '98 Proceedings of the First International Conference on Discovery Science
An Evolutionary Algorithm for Cost-Sensitive Decision Rule Learning
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Prediction of Ordinal Classes Using Regression Trees
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
An evolutionary misclassification cost minimization approach for medical diagnosis
Managing data mining technologies in organizations
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
Computer Networks: The International Journal of Computer and Telecommunications Networking
Selective Sampling for Nearest Neighbor Classifiers
Machine Learning
Decision trees with minimal costs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning diagnostic policies from examples by systematic search
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
A critical review of multi-objective optimization in data mining: a position paper
ACM SIGKDD Explorations Newsletter
Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Learning policies for sequential time and cost sensitive classification
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Cost-Constrained Data Acquisition for Intelligent Data Preparation
IEEE Transactions on Knowledge and Data Engineering
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
Feature Selection for Building Cost-Effective Data Stream Classifiers
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
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-conscious classifier ensembles
Pattern Recognition Letters
A data mining-constraint satisfaction optimization problem for cost effective classification
Computers and Operations Research
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
IEEE Transactions on Knowledge and Data Engineering
Prediction of Ordinal Classes Using Regression Trees
Fundamenta Informaticae - Intelligent Systems
Cost-sensitive feature acquisition and classification
Pattern Recognition
A co-evolving decision tree classification method
Expert Systems with Applications: An International Journal
Partial example acquisition in cost-sensitive learning
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Genetic learner: Discretization and fuzzification of numerical attributes
Intelligent Data Analysis
A framework for the automated generation of power-efficient classifiers for embedded sensor nodes
Proceedings of the 5th international conference on Embedded networked sensor systems
How to shift bias: Lessons from the baldwin effect
Evolutionary Computation
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
Multi-group support vector machines with measurement costs: A biobjective approach
Discrete Applied Mathematics
General solution and learning method for binary classification with performance constraints
Pattern Recognition Letters
Real-time credit card fraud detection using computational intelligence
Expert Systems with Applications: An International Journal
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
The method for solving two types of errors in customer segmentation on unbalanced data
Proceedings of the 10th international conference on Electronic commerce
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
Test-Cost Sensitive Classification Based on Conditioned Loss Functions
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
Readable and Accurate Rulesets with ORGA
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
ACM Transactions on Knowledge Discovery from Data (TKDD)
Building a cost-constrained decision tree with multiple condition attributes
Information Sciences: an International Journal
Foundations and Trends in Databases
Maintaining Diagnostic Knowledge-Based Systems: A Control-Theoretic Approach
Management Science
A hierarchical model for test-cost-sensitive decision systems
Information Sciences: an International Journal
A constraint-guided method with evolutionary algorithms for economic problems
Applied Soft Computing
Sensor selection for energy-efficient ambulatory medical monitoring
Proceedings of the 7th international conference on Mobile systems, applications, and services
Missing or absent? A Question in Cost-sensitive Decision Tree
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
An instance-based state representation for network repair
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Thresholding for making classifiers cost-sensitive
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Cost-sensitive test strategies
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Use of expert knowledge for decision tree pruning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
VOILA: efficient feature-value acquisition for classification
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
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
Connectionist theory refinement: genetically searching the space of network topologies
Journal of Artificial Intelligence Research
Optimal value of information in graphical models
Journal of Artificial Intelligence Research
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Knowledge discovery with classification rules in a cardiovascular dataset
Computer Methods and Programs in Biomedicine
Patient-recognition data-mining model for BCG-plus interferon immunotherapy bladder cancer treatment
Computers in Biology and Medicine
Hybrid approaches for classification under information acquisition cost constraint
Decision Support Systems
Training an active random field for real-time image denoising
IEEE Transactions on Image Processing
CSNL: A cost-sensitive non-linear decision tree algorithm
ACM Transactions on Knowledge Discovery from Data (TKDD)
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
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
Computers in Biology and Medicine
Cost-sensitive classification with respect to waiting cost
Knowledge-Based Systems
Journal of Systems and Software
Optimal constraint-based decision tree induction from itemset lattices
Data Mining and Knowledge Discovery
Qualitative test-cost sensitive classification
Pattern Recognition Letters
A decision support system for cost-effective diagnosis
Artificial Intelligence in Medicine
Cost sensitive classification in data mining
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis
Artificial Intelligence in Medicine
Costs-sensitive classification in multistage classifier with fuzzy observations of object features
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Accumulated cost based test-cost-sensitive attribute reduction
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Using classifier cascades for scalable e-mail classification
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
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
Optimal sub-reducts with test cost constraint
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Journal of Artificial Intelligence Research
An alternative to ROC and AUC analysis of classifiers
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Evolutionary induction of cost-sensitive decision trees
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Cost-Sensitive decision tree learning for forensic classification
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
Any-cost discovery: learning optimal classification rules
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Multiple costs based decision making with back-propagation neural networks
Decision Support Systems
Learning and classifying under hard budgets
ECML'05 Proceedings of the 16th European conference on Machine Learning
Simple test strategies for cost-sensitive decision trees
ECML'05 Proceedings of the 16th European conference on Machine Learning
Dynamic test-sensitive decision trees with multiple cost scales
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Cost-Sensitive decision trees with multiple cost scales
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Knowledge discovery using concept-class taxonomies
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Decision tree classifiers sensitive to heterogeneous costs
Journal of Systems and Software
Test cost constraint reduction with common cost
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
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
Evolutionary design of decision trees for medical application
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
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
Test-cost-sensitive attribute reduction
Information Sciences: an International Journal
Attribute reduction of data with error ranges and test costs
Information Sciences: an International Journal
Building cost-sensitive decision trees for medical applications
AI Communications
A competition strategy to cost-sensitive decision trees
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Prediction of Ordinal Classes Using Regression Trees
Fundamenta Informaticae - Intelligent Systems
Cost-sensitive decision trees applied to medical data
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
The CASH algorithm-cost-sensitive attribute selection using histograms
Information Sciences: an International Journal
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
A comparison study of cost-sensitive classifier evaluations
BI'12 Proceedings of the 2012 international conference on Brain Informatics
An adaptive ensemble classifier for mining concept drifting data streams
Expert Systems with Applications: An International Journal
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Feature selection with test cost constraint
International Journal of Approximate Reasoning
A misclassification cost risk bound based on hybrid particle swarm optimization heuristic
Expert Systems with Applications: An International Journal
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
Expert Systems with Applications: An International Journal
An ensemble-clustering-based distance metric and its applications
International Journal of Business Intelligence and Data Mining
A Fast Multiclass Classification Algorithm Based on Cooperative Clustering
Neural Processing Letters
Repeated labeling using multiple noisy labelers
Data Mining and Knowledge Discovery
Evolutionary approach for automated component-based decision tree algorithm design
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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This paper introduces ICET, a new algorithm for cost-sensitive classification. ICET uses a genetic algorithm to evolve a population of biases for a decision tree induction algorithm. The fitness function of the genetic algorithm is the average cost of classification when using the decision tree, including both the costs of tests (features, measurements) and the costs of classification errors. ICET is compared here with three other algorithms for cost-sensitive classification -- EG2, CS-ID3, and IDX -- and also with C4.5, which classifies without regard to cost. The five algorithms are evaluated empirically on five real-world medical datasets. Three sets of experiments are performed. The first set examines the baseline performance of the five algorithms on the five datasets and establishes that ICET performs significantly better than its competitors. The second set tests the robustness of ICET under a variety of conditions and shows that ICET maintains its advantage. The third set looks at ICET's search in bias space and discovers a way to improve the search.