"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.

For example, a decision with an outcome of $150,000 that costs $20,000 to attempt is dangerous if your business can't afford to lose $20,000. Eliminate outcomes with unaffordable attached risks.

Thomas J. Hindelang, John F. Muth, A Dynamic Programming Algorithm for Decision CPM Networks, Operations Research, Vol. 27, No. 2 (Mar. - Apr., 1979), pp. 225-241 ...