Study on Method of Utilization of Bayesian Networks for Analyzing Time Series Data

Abstract

Abstract. We describe our own method (which we call "Graph Structured Analysis" including a series of processes) to aim at promoting knowledge discovery towards clarifying the mechanisms of complex phenomena from various time series data. This method is based on Bayesian networks and supports structurally analyzing and visualizing the relationships among multiple variables with time series data. We show some examples of applying this method to actual time series data acquired in our development area of automobiles. In each example, we discuss its utility while giving interpretations along engineering viewpoints.