DisCō - Visual DIScovery and COmmunication of complex time patterns in non regularly gathered multigranular and multivariate data

Submitted by Katharina Kaiser on Wed, 30. Nov 2011 - 12:35
Aim

To fill these gaps within DisCō*), we aim to develop novel Visual Analytics methods to visually as well as computationally analyse multivariate, time-oriented data and information to discover new and unexpected trends, patterns, and relationships. The main goals of the intertwined visual and analytical methods are to ensure high usability and good control of the integrated mining techniques by applying intuitive visualizations and visual interfaces. 

* ... in Latin "disco" (inf. discere) means "I learn"

Team
Project Partners
Duration

March 2007 - February 2010

Funding

This project is supported by the program "FIT-IT Visual Computing" of the Federal Ministry of Transport, Innovation and Technology under grant no. 813388.

Contact
Status
finished

DisCo The capabilities to generate and collect data and information have seen an explosive growth and overwhelm traditional methods of data analysis such as spreadsheets, ad-hoc queries, or simple visualizations. Exploring trends, patterns, and relationships are particularly important when dealing with large amounts of data. The human perceptual system is highly sophisticated and specifically suited to spot visual patterns. For this reason, visualization is successfully applied in aiding these tasks. But facing the huge volumes of data to be analysed today, applying purely visual techniques only is often not sufficient.

Time is an important data dimension that is common across many application domains. However, support for the analysis of time-oriented data and information is weak. The main reason is that time - in contrast to other quantitative data dimensions that are usually "flat” - has an inherent structure and distinct characteristics which increase its complexity dramatically and demand specialised methods in order to support proper analysis and visualisation. Especially, the problems imposed by the combination of multiple, heterogeneous data sources in real world scenarios push current techniques to their limits.

Publications

Arghad Arnaout, Bilal Alsallakh, Rudolf Fruhwirth, Gerhard Thonhauser, Bilal Esmael, Michael Prohaska, "Diagnosing Drilling Problems Using Visual Analytics of Sensors Measurements", Instrumentation and Measurement Technology Conference (I2MTC), IEEE International, pp. 1750 -1753, 2012.
Eva Mayr, Michael Smuc, Hanna Risku, Wolfgang Aigner, Alessio Bertone, Tim Lammarsch, Silvia Miksch, "Mapping the Users' Problem Solving Strategies in the Participatory Design of Visual Analytics Methods", Proceedings of 6th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society (USAB 2010), pp. 1-13, 2010. paper
Alessio Bertone, Tim Lammarsch, Thomas Turic, Wolfgang Aigner, Silvia Miksch, "Does Jason Bourne need Visual Analytics to catch the Jackal?", Proceedings of International Symposium on Visual Analytics Science and Technology (EuroVAST 2010) in conjunction with EuroVis 2010, pp. 61–67, 2010. paper
Alessio Bertone, Tim Lammarsch, Thomas Turic, Wolfgang Aigner, Silvia Miksch, Johannes Gärtner, "MuTIny: A Multi-Time Interval Pattern Discovery Approach To Preserve The Temporal Information In Between", IADIS European Conference on Data Mining (ECDM 2010), pp. 101–106, 2010. paper
Tim Lammarsch, "Facets of Time - Making the Most of Time's Structure in Interactive Visualization", Institute of Software Technology and Interactive Systems, vol. Dr. techn., 2010. paper
Johannes Gärtner, Wolfgang Aigner, Alessio Bertone, Robert Klausner, Tim Lammarsch, Eva Mayr, Silvia Miksch, Hanna Risku, Michael Smuc, "Visual Analytics for Workforce Requirements", Accepted extended abstract at 19th International Symposium on Shiftwork and Working Time and Well-being in the 24-h Society, Venezia, Italy, vol. 29(3), pp. 29–38, 2009. paper
Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Johannes Gärtner, Eva Mayr, Silvia Miksch, Michael Smuc, "Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-based Visualizations", Proceedings of 13th International Conference on Information Visualisation (IV09), pp. 44–49, 2009. paper
Wolfgang Aigner, Alessio Bertone, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Interactively Exploring Time-Oriented Data", Workshop Notes of CHI 2009 workshop "Interacting with temporal data" at Conference on Human Factors in Computing Systems (CHI 2009), 2009. paper
Michael Smuc, Eva Mayr, Tim Lammarsch, Wolfgang Aigner, Silvia Miksch, Johannes Gärtner, "To Score or Not to Score? Tripling Insights for Participatory Design", IEEE Computer Graphics and Applications, vol. 29, pp. 29–38, 2009. paper
Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Johannes Gärtner, Silvia Miksch, Thomas Turic, "A Comparison of Programming Platforms for Interactive Visualization in Web Browser Based Applications", Proceedings of 12th International Conference on Information Visualisation (IV08), pp. 194–199, 2008. paper
Michael Smuc, Eva Mayr, Tim Lammarsch, Alessio Bertone, Wolfgang Aigner, Hanna Risku, Silvia Miksch, "Visualizations at First Sight: Do Insights Require Traininig?", Proceedings of 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society (USAB 2008), pp. 261–280, 2008. paper
Alessio Bertone, "{A Matter of Time: Machine Learning and Temporal Data Mining}", , 2007. paper
Alessio Bertone, "{Evaluation of SAX functionalities}", , 2007. paper
Tim Lammarsch, "Toolkits für die Visualisierung", IKE Technical Reports, pp. 9, 2007. paper