machine learning - Modelling steps in a process -

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so i'm not new machine learning, i'm faced task have little knowledge of existing solutions.

basically, want able learn steps in process. examples, steps go state state z. learn such sequences sequences produced users. example, ten users attempt go z, producing 10 different "traces", , want learn ideal sequence.

i know of strips approach, uses logic represent states , steps. know of other approaches? using graphs, or decision trees, or don't know? probabilistic approaches maybe? i'm curious alternatives.

i didn't have success in searches far, maybe because lack appropriate keywords. there specific name i'm describing?

best;


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