KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Applications of machine learning and rule induction
Communications of the ACM
The role of domain knowledge in data mining
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Bridging the gap between business objectives and parameters of data mining algorithms
Decision Support Systems - Special issue: knowledge discovery and its applications to business decision making
Using domain knowledge in knowledge discovery
Proceedings of the eighth international conference on Information and knowledge management
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
CUE: Ontology-Based Knowledge Acquisition
EKAW '94 Proceedings of the 8th European Knowledge Acquisition Workshop on A Future for Knowledge Acquisition
Evaluating and Tuning Predictive Data Mining Models Using Receiver Operating Characteristic Curves
Journal of Management Information Systems
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Incorporating domain knowledge into data mining classifiers: An application in indirect lending
Decision Support Systems
C-DBSCAN: Density-Based Clustering with Constraints
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Density-based semi-supervised clustering
Data Mining and Knowledge Discovery
Expert Systems with Applications: An International Journal
Tuning expert systems for cost-sensitive decisions
Advances in Artificial Intelligence
SEWEBAR-CMS: semantic analytical report authoring for data mining results
Journal of Intelligent Information Systems
Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned
Expert Systems with Applications: An International Journal
Learning strategies for task delegation in norm-governed environments
Autonomous Agents and Multi-Agent Systems
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
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Data Mining techniques have been applied in many application areas. A Data Mining project has been often described as a process of automatic discovery of new knowledge from large amounts of data. However the role of the domain knowledge in this process and the forms that this can take, is an issue that has been given little attention so far. Based on our experience with a large scale Data Mining industrial project we present in this paper an outline of the role of domain knowledge in the various phases of the process. This project has led to the development of a decision support expert system for a major Telecommunications Operator. The data mining process is described in the paper as a continuous interaction between explicit domain knowledge, and knowledge that is discovered through the use of data mining algorithms. The role of the domain experts and data mining experts in this process is discussed. Examples from our case study are also provided.