Analyzing and using sequence data can be very powerful. We also learned how to use simple visualization techniques, frequent pattern mining, and sequence clustering techniques to make sense of sequence data. In this chapter, we’ll look at more advanced techniques.

We’ll specifically discuss examples of how advanced techniques can be used to uncover players' strategies and problem-solving patterns as well as to predict churn. While it may be very obvious why predicting churn is important, it may not be as obvious why one would want to uncover or understand players' strategies.

Discussion of case study

Previously, we presented a case study that sheds some light on the utility of such analysis. Furthermore, understanding what players are trying to do in their gameplay can allow us to uncover issues in the design, such as puzzles that are too hard or scenarios where players are not on the right path.

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