Interactive Visual Analysis of Process Data
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Data gathered from processes, or process data, contains many different aspects that a visualization system should also convey. Aspects such as, temporal coherence, spatial connectivity, streaming data, and the need for in-situ visualizations, which all come with their independent challenges. Additionally, as sensors get more affordable, and the benefits of measurements get clearer we are faced with a deluge of data, of which sizes are rapidly growing. With all the aspects that should be supported and the vast increase in the amount of data, the traditional techniques of dashboards showing the recent data becomes insufficient for practical use. In this thesis we investigate how to extend the traditional process visualization techniques by bringing the streaming process data into an interactive visual analysis setting. The augmentation of process visualization with interactivity enables the users to go beyond the mere observation, pose questions about observed phenomena and delve into the data to mine for the answers. Furthermore, this thesis investigates how to utilize frequency based, as opposed to item based, techniques to show such large amounts of data. By utilizing Kernel Density Estimates (KDE) we show how the display of streaming data benefit by the non-parametric automatic aggregation to interpret incoming data put in context to historic data.
Paper I: O. Daae Lampe and H. Hauser. Interactive Visualization of Streaming Data with Kernel Density Estimation. In Proceedings of the IEEE Pacific Visualization Symposium 2011, pages 171–178, Hong Kong, March 1–4, 2011. The article is available at: http://hdl.handle.net/1956/5296Paper II: O. Daae Lampe and H. Hauser. Curve Density Estimates. In Proceedings of Eurographics/IEEE-VGTC Symp. on Visualization (EuroVis 2011), 30(3), pages 633–642, Bergen, Norway, June 1–3, 2011. The article is available at: http://hdl.handle.net/1956/5297Paper III: O. Daae Lampe, C. Correa, K. L. Ma and H. Hauser. Curve-Centric Volume Reformation for Comparative Visualization. In IEEE Transactions on Visualization and Computer Graphics (IEEE Vis. 2009), 15(6), pages 1235–1242, 2009. The article is available at: http://hdl.handle.net/1956/5299Paper IV: O. Daae Lampe, J. Kehrer, and H. Hauser. Visual analysis of multivariate movement data using interactive difference views. In Proc. Vision, Modeling, and Visualization (VMV 2010), pages 315–322, 2010. Full text not available in BORA due to publisher restrictions.Paper V: O. Daae Lampe and H. Hauser. Interactive Model Prototyping in Visualization Space. Proceedings of SIGRAD 2011. Evaluations of Graphics and Visualization — Efficiency, Usefulness, Accessibility, Usability (Sigrad 2011) 65(7), pages 43-51. KTH, Stockholm, Sweden, 17–18 November 2011. Full text not available in BORA due to publisher restrictions.
PublisherThe University of Bergen
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