Algorithms and Systems for Analyzing Graph-Structured Data

Data analysis, data mining and machine learning are centrally focused on algorithms and systems for producing structure from data. In recent years, however, it has become obvious that it is just as important to look at the structure already present in the data in order to produce the best possible models. In this talk, we will give an overview of a line of research we have been pursuing towards this goal over the past years, focusing in particular on algorithms for efficient pattern discovery and prediction with graphs, applied to areas such as molecule classification or mobility analysis. Especially for the latter, we will also briefly outline how visual approaches can greatly enhance the utility of algorithmic approaches.