In March $2015,$ the copilot Lubitz crashed Germanwings Flight $4$U$9525$ in the French Alps, killing all $150$ people on board. Data shows that in the flight into Barcelona prior to the doomed flight, Lubitz practiced a controlled descent, where he toyed with the plane$$s settings, programming it for sharp descent multiple times. The $$selected altitude$$ of the flight changed repeatedly, including several times being set as low as $100$ feet above the ground. Lubitz also put the engines on idle, which gives the plane the ability to quickly descend. It is highly unusual for a pilot to do these. Which of the following data mining techniques could have been most likely used to prevent the tragedy?

A$.$ Decision tree classification algorithms.

B$.$ Association rule mining.

C$.$ Clustering algorithms.

D$.$ Outlier detection algorithms.