An illustration of verification and validation in the modelling phase of KBS development
Data & Knowledge Engineering
Future Generation Computer Systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Mining software repositories for comprehensible software fault prediction models
Journal of Systems and Software
Predicting going concern opinion with data mining
Decision Support Systems
Inferring comprehensible business/ICT alignment rules
Information and Management
Building acceptable classification models for financial engineering applications: thesis summary
ACM SIGKDD Explorations Newsletter
Using an ant colony metaheuristic to optimize automatic word segmentation for ancient Greek
IEEE Transactions on Evolutionary Computation
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
Process discovery in event logs: An application in the telecom industry
Applied Soft Computing
Performance of classification models from a user perspective
Decision Support Systems
Ant colony optimisation for vehicle traffic systems: applications and challenges
International Journal of Bio-Inspired Computation
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Data mining involves the automated process of finding patterns in data and has been a research topic for decades. Although very powerful data mining techniques exist to extract classification models from data, the techniques often infer counter-intuitive patterns or lack patterns that are logical for domain experts. The problem of consolidating the knowledge extracted from the data with the knowledge representing the experience of domain experts, is called the knowledge fusion problem. Providing a proper solution for this problem is a key success factor for any data mining application. In this paper, we explain how the AntMiner+ classification technique can be extended to incorporate such domain knowledge. By changing the environment and influencing the heuristic values, we can respectively limit and direct the search of the ants to those regions of the solution space that the expert believes to be logical and intuitive.