A guide to expert systems
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Instance-Based Learning Algorithms
Machine Learning
The Utility of Knowledge in Inductive Learning
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
A comparative analysis of inductive-learning algorithms
International Journal of Intelligent Systems in Accounting and Finance Management - Special issue on neural networks
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Robust Classification for Imprecise Environments
Machine Learning
Principles of data mining
Back-Propagation: Theory, Architecture, and Applications
Back-Propagation: Theory, Architecture, and Applications
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
ECML '95 Proceedings of the 8th European Conference on Machine Learning
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
The Role of Domain Knowledge in a Large Scale Data Mining Project
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Introduction to the special issue on the fusion of domain knowledge with data for decision support
The Journal of Machine Learning Research
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Credit rating analysis with support vector machines and neural networks: a market comparative study
Decision Support Systems - Special issue: Data mining for financial decision making
Decision Support Systems - Special issue: Data mining for financial decision making
Using AUC and Accuracy in Evaluating Learning Algorithms
IEEE Transactions on Knowledge and Data Engineering
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction
Journal of Management Information Systems - Special section: Data mining
Journal of Management Information Systems - Special section: Data mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
An integrated two-stage model for intelligent information routing
Decision Support Systems
Rule Extraction from Support Vector Machines: A Sequential Covering Approach
IEEE Transactions on Knowledge and Data Engineering
Evaluating and Tuning Predictive Data Mining Models Using Receiver Operating Characteristic Curves
Journal of Management Information Systems
Constrained Cascade Generalization of Decision Trees
IEEE Transactions on Knowledge and Data Engineering
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
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
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An Efficient Algorithm for Generating Generalized Decision Forests
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Financial time series forecasting using independent component analysis and support vector regression
Decision Support Systems
Indexing ICD-9 codes for free-textual clinical diagnosis records by a new ensemble classifier
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
Application of data mining in multi-geological-factor analysis
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Expert Systems with Applications: An International Journal
Tuning expert systems for cost-sensitive decisions
Advances in Artificial Intelligence
Comparative analysis of data mining methods for bankruptcy prediction
Decision Support Systems
Expert Systems with Applications: An International Journal
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Improving classifier performance by knowledge-driven data preparation
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Empirical models based on features ranking techniques for corporate financial distress prediction
Computers & Mathematics with Applications
International Journal of Intelligent Information Technologies
Context-based knowledge discovery and its application
DM-IKM '12 Proceedings of the Data Mining and Intelligent Knowledge Management Workshop
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Data mining techniques have been applied to solve classification problems for a variety of applications such as credit scoring, bankruptcy prediction, insurance underwriting, and management fraud detection. In many of those application domains, there exist human experts whose knowledge could have a bearing on the effectiveness of the classification decision. The lack of research in combining data mining techniques with domain knowledge has prompted researchers to identify the fusion of data mining and knowledge-based expert systems as an important future direction. In this paper, we compare the performance of seven data mining classification methods-naive Bayes, logistic regression, decision tree, decision table, neural network, k-nearest neighbor, and support vector machine-with and without incorporating domain knowledge. The application we focus on is in the domain of indirect bank lending. An expert system capturing a lending expert's knowledge of rating a borrower's credit is used in combination with data mining to study if the incorporation of domain knowledge improves classification performance. We use two performance measures: misclassification cost and AUC (area under the curve). A 2x7 factorial, repeated-measures ANOVA, with the two factors being domain knowledge (present or absent) and data mining method (seven methods), as well as a special statistical test for comparing AUCs, is used for analyzing the results. Analysis of the results reveals that incorporation of domain knowledge significantly improves classification performance with respect to both misclassification cost and AUC. There is interaction between classification method and domain knowledge. Incorporation of domain knowledge has a higher influence on performance for some methods than for others. Both measures-misclassification cost and AUC-yield similar results, indicating that the findings of the study are robust.