Fundamental concepts of qualitative probabilistic networks
Artificial Intelligence
Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
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The nature of statistical learning theory
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Neural networks for pattern recognition
Neural networks for pattern recognition
An illustration of verification and validation in the modelling phase of KBS development
Data & Knowledge Engineering
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Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Credit Scoring and Its Applications
Credit Scoring and Its Applications
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Machine Learning
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Using Rule Sets to Maximize ROC Performance
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Prior Knowledge in Economic Applications of Data Mining
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Learning with Globally Predictive Tests
DS '98 Proceedings of the First International Conference on Discovery Science
Pattern Detection and Discovery
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Knowledge Discovery: Comprehensibility of the Results
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Benchmarking Least Squares Support Vector Machine Classifiers
Machine Learning
Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications (Machine Perception and Artificial Intelligence)
Evaluation of rule interestingness measures with a clinical dataset on hepatitis
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
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Decision Support Systems
Mining software repositories for comprehensible software fault prediction models
Journal of Systems and Software
PRIE: a system for generating rulelists to maximize ROC performance
Data Mining and Knowledge Discovery
Predicting going concern opinion with data mining
Decision Support Systems
Decompositional Rule Extraction from Support Vector Machines by Active Learning
IEEE Transactions on Knowledge and Data Engineering
Adding monotonicity to learning algorithms may impair their accuracy
Expert Systems with Applications: An International Journal
Inferring comprehensible business/ICT alignment rules
Information and Management
Data Mining and Homeland Security: An Overview
Data Mining and Homeland Security: An Overview
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
Protection or privacy? data mining and personal data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Evaluating the correlation between objective rule interestingness measures and real human interest
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Ant-based approach to the knowledge fusion problem
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Derivation of monotone decision models from noisy data
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Classification With Ant Colony Optimization
IEEE Transactions on Evolutionary Computation
A two-phase case-based distance approach for multiple-group classification problems
Computers and Industrial Engineering
Partial Least Square Discriminant Analysis for bankruptcy prediction
Decision Support Systems
CBC: An associative classifier with a small number of rules
Decision Support Systems
Comprehensible classification models: a position paper
ACM SIGKDD Explorations Newsletter
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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This paper proposes a complete framework to assess the overall performance of classification models from a user perspective in terms of accuracy, comprehensibility, and justifiability. A review is provided of accuracy and comprehensibility measures, and a novel metric is introduced that allows one to measure the justifiability of classification models. Furthermore, taxonomy of domain constraints is introduced, and an overview of the existing approaches to impose constraints and include domain knowledge in data mining techniques is presented. Finally, justifiability metric is applied to a credit scoring and customer churn prediction case.