"Jump discontinuities" in visual plots led to use of data mining decision trees as an ideal form of analysis useful in obtaining a profit exploration pattern from the British Columbia database.

But there is also some empirical work comparing various algorithms across many datasets and drawing some conclusions, what types of problems tend to do better with trees vs logistic regression.

The stochastic decision tree method builds on concepts used in the risk analysis method and the decision tree method of analyzing investments. It permits the use of subjective probability estimates or ...

This paper describes the development of an air mission planning algorithm for the Joint Stochastic Warfare Analysis Research (JSTOCHWAR). The overall problem scope was to develop an algorithm to ...