Fuzzy Petri nets for rule-based decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The Use of Background Knowledge in Decision Tree Induction
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
A cost-based buffer replacement algorithm for object-oriented database systems
Information Sciences—Informatics and Computer Science: An International Journal
Machine Learning
AdaCost: Misclassification Cost-Sensitive Boosting
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Decision trees with minimal costs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Building multi-way decision trees with numerical attributes
Information Sciences: an International Journal
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Test-Cost Sensitive Naive Bayes Classification
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
Test-Cost Sensitive Classification on Data with Missing Values
IEEE Transactions on Knowledge and Data Engineering
Test Strategies for Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Cost-sensitive feature acquisition and classification
Pattern Recognition
Cost-sensitive test strategies
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
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
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
Information Sciences: an International Journal
Weighted reduction for decision tables
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
A model of machine learning based on user preference of attributes
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Parameter inference of cost-sensitive boosting algorithms
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
A multi-model algorithm for the cost-oriented design of Internet-based systems
Information Sciences: an International Journal
Interpreting and extracting fuzzy decision rules from fuzzy information systems and their inference
Information Sciences: an International Journal
Multi-agent neural business control system
Information Sciences: an International Journal
Information Sciences: an International Journal
Covering numbers in covering-based rough sets
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
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
Optimal sub-reducts with test cost constraint
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Transversal and function matroidal structures of covering-based rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Test cost constraint reduction with common cost
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
An application of rough sets to graph theory
Information Sciences: an International Journal
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
A competition strategy to cost-sensitive decision trees
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Cost-Sensitive classification based on decision-theoretic rough set model
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Matroidal structure of rough sets and its characterization to attribute reduction
Knowledge-Based Systems
Quantitative analysis for covering-based rough sets through the upper approximation number
Information Sciences: an International Journal
A comparison study of cost-sensitive classifier evaluations
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Incorporating logistic regression to decision-theoretic rough sets for classifications
International Journal of Approximate Reasoning
Feature selection with test cost constraint
International Journal of Approximate Reasoning
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Cost-sensitive learning is an important issue in both data mining and machine learning, in that it deals with the problem of learning from decision systems relative to a variety of costs. In this paper, we introduce a hierarchy of cost-sensitive decision systems from a test cost perspective. Two major issues are addressed with regard to test cost dependency. The first is concerned with the common test cost, where a group of tests share a common cost, while the other relates to the sequence-dependent test cost, where the order of the test sequence influences the total cost. Theoretical aspects of each of the six models in our hierarchy are investigated and illustrated via examples. The proposed models are shown to be useful for exploring cost related information in various different applications.