Several rule mining approaches have been developed to detect patterns and regularities in big data. In the context of the market basket problem, methods from association rule mining are commonly used, whereas situations with additional temporal relationships require for procedures from sequential pattern analysis or episode mining. Although these methods have been mainly developed in computer science, many connections to statistics also exist.