Decision‐tree construction and analysis

Abstract

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.

Mobile decision-tree tool technology as a means to detect wildlife crimes and build enforcement networks

“…They have wide-spread application, from determining water treatments, to diagnosing medical conditions and classifying astronomical images (Murphy, 2001;Murphy and Olson, 1996;Salzberg et al, 1995). Often, decision-trees facilitate analysis by assigning probabilities to supplied data selections, with additional weights to account for potential errors, to calculate the outcome of system manipulations (Murphy, 2001).…”