Buch, Englisch, Band 330, 222 Seiten
Buch, Englisch, Band 330, 222 Seiten
Reihe: Dissertations in Artificial Intelligence
ISBN: 978-1-60750-624-9
Verlag: IOS Press
Based on the practical requirements, a new concept description approach, called interactive look-ahead decision trees, is developed. This approach combines interactive decision trees with Bayesian partition models and supports and interactive, iterative and intuitive way of causal investigation. The proposed method considers dependencies, in particular taxonomic and partonomic relationships among influencing variables and identifies the most likely, semantically meaningful partitions that are close to the concept that actually caused a quality issue. An evaluation on test data and real-world case studies illustrate how the approach can be used by engineers to investigate cause-effect relationships.