Abstract
Established process models for knowledge discovery find the domain-expert in a customer-like and supervising role. In the field of biomedical research, it is necessary to move the domain-experts into the center of this process with far-reaching consequences for both their research output and the process itself. In this paper, we revise the established process models for knowledge discovery and propose a new process model for domain-expert-driven interactive knowledge discovery. Furthermore, we present a research infrastructure which is adapted to this new process model and demonstrate how the domain-expert can be deeply integrated even into the highly complex data-mining process and data-exploration tasks. We evaluated this approach in the medical domain for the case of cerebral aneurysms research.
Original language | English |
---|---|
Pages (from-to) | 133-143 |
Journal | Brain Informatics |
Volume | 3 |
Issue number | 3 |
Early online date | 24 Feb 2016 |
DOIs | |
Publication status | Published - 10 Sept 2016 |
Keywords
- Doctor-in-the-loop
- interactive Machine Learning
- Machine Learning
- Process Model
- Knowledge Discovery
- medical research
- Health Informatics
ASJC Scopus subject areas
- Information Systems and Management
- Artificial Intelligence
Fields of Expertise
- Information, Communication & Computing
Treatment code (Nähere Zuordnung)
- Basic - Fundamental (Grundlagenforschung)
- Experimental