Abstract:
From everyday life to specialized expert work, large amounts of complex data are produced and collected every day. Together with advances in data analysis and machine learning, this availability of data opens important opportunities to learn, improve and innovate many processes and tasks. Visualization and Visual Analytics research provide valuable techniques to include the domain stakeholders in the interactive data analysis process, allowing to interpret, control, enhance and reuse the results of machine learning applied to large data sets. We present techniques developed in our research for analysis of large data sets, demonstrating possibilities and challenges. In one part, we present lens-based analysis techniques for pattern searching and data modeling. We then show recent work of visual analysis of time series in industrial processes for anomaly detection, and comparison of simulation and measurement data. Finally, we discuss recent applications in immersive analytics of human movement data. We outline current results and future work opportunities.

*El Prof. Schreck es Colaborador Internacional del Proyecto FONDECYT 1230448 (Investigador Responsable: Benjamin Bustos).

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Comunicaciones DCC