Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments.

The analysis of sequential data is a prominent research topic, e. g., for investigating actions, events or log entries. This demonstration paper presents an integrated approach for anomaly analytics in an industrial production scenario. Based on first-order Markov chain models, we analyse sequential trails relative to specific hypotheses in an industrial application context. We summarize the applied method and present its implementation in a data analytics process.