A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Decision‐tree construction and analysis
Decision‐tree theory may be useful in understanding complex biological systems.
Decision‐tree construction and analysis indicate the quantitative occurrence of sulfate‐reducing bacteria in a groundwater basin. The decision‐tree analysis allowed determination of the most important measured variables (discriminators) associated with the occurrence of sulfate‐reducing bacteria. Those variables may be used to improve reliability and validity of the tree. Statistical validation of endpoint data (leaves) is described, and decision trees are presented that increase the understanding of individual wells and hypothesize causes for sulfate‐reducing bacteria.
Decision‐tree construction and analysis
Decision‐tree theory may be useful in understanding complex biological systems.
Decision‐tree construction and analysis indicate the quantitative occurrence of sulfate‐reducing bacteria in a groundwater basin. The decision‐tree analysis allowed determination of the most important measured variables (discriminators) associated with the occurrence of sulfate‐reducing bacteria. Those variables may be used to improve reliability and validity of the tree. Statistical validation of endpoint data (leaves) is described, and decision trees are presented that increase the understanding of individual wells and hypothesize causes for sulfate‐reducing bacteria.
Decision‐tree construction and analysis
Murphy, Patrick (author) / Olson, Betty H. (author)
Journal ‐ American Water Works Association ; 88 ; 59-67
1996-02-01
9 pages
Article (Journal)
Electronic Resource
English
Concrete Inspection: A Decision Tree Analysis
| British Library Conference Proceedings | 1996
Fault tree network analysis for construction
| Taylor & Francis Verlag | 1988
Binary Decision Diagrams Applied to Fault Tree Analysis
| British Library Conference Proceedings | 2008
| BASE | 2021