Knowledge reuse among diagnostic problem-solving methods in the shell-kit D3
International Journal of Human-Computer Studies
Levelwise Search and Pruning Strategies for First-Order HypothesisSpaces
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Inductive Learning for Case-Based Diagnosis with Multiple Faults
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Handbook of data mining and knowledge discovery
A case-based approach for characterization and analysis of subgroup patterns
Applied Intelligence
CSM-SD: Methodology for contrast set mining through subgroup discovery
Journal of Biomedical Informatics
Causal Subgroup Analysis for Detecting Confounding
Applications of Declarative Programming and Knowledge Management
Using Declarative Specifications of Domain Knowledge for Descriptive Data Mining
Applications of Declarative Programming and Knowledge Management
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Discretization of Target Attributes for Subgroup Discovery
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Fast Subgroup Discovery for Continuous Target Concepts
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Contrast set mining through subgroup discovery applied to brain ischaemina data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
SD-map: a fast algorithm for exhaustive subgroup discovery
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Clinical experiences with a knowledge-based system in sonography (sonoconsult)
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
A methodological view on knowledge-intensive subgroup discovery
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Proceedings of the 23rd ACM conference on Hypertext and social media
Onto collective intelligence in social media: exemplary applications and perspectives
Proceedings of the 3rd international workshop on Modeling social media
Face-to-face contacts at a conference: dynamics of communities and roles
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Describing locations using tags and images: explorative pattern mining in social media
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
On the exploitation of semantic types in the visualization of complex argumentative discourses
Proceedings of the 2nd International Workshop on Intelligent Exploration of Semantic Data
Mining complex event patterns in computer networks
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
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In general, knowledge-intensive data mining methods exploit background knowledge to improve the quality of their results. Then, in knowledge-rich domains often the interestingness of the mined patterns can be increased significantly. In this paper we categorize several classes of background knowledge for subgroup discovery, and present how the necessary knowledge elements can be modelled. Furthermore, we show how subgroup discovery methods benefit from the utilization of background knowledge, and discuss its application in an incremental process-model. The context of our work is to identify interesting diagnostic patterns to supplement a medical documentation and consultation system. We provide a case study in the medical domain, using a case base from a realworld application.