Now showing items 79-98 of 152

    • Retrospective Analysis of Surveillance Data: A Case Study for Road Tunnels 

      Piringer, H.; Buchetics, M. (The Eurographics Association, 2013)
      The surveillance of a particular infrastructure is a multi-faceted activity. In addition to tasks which must be performed in real-time, a retrospective analysis of surveillance data is of equal importance for ensuring the ...
    • Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff 

      Sisneros, Robert; Fullop, Joshi; Semeraro, B. David; Bauer, Greg (The Eurographics Association, 2014)
      Beyond raw computational power, a supercomputer offers the capability of generating and logging a significant amount of diagnostic data. While adding to the burden of maintenance, this data nevertheless represents compelling ...
    • Scalable Cluster Analysis of Spatial Events 

      Peca, Iulian; Fuchs, Georg; Vrotsou, Katerina; Andrienko, Natalia; Andrienko, Gennady (The Eurographics Association, 2012)
      Clustering of massive data is an important analysis tool but also challenging since the data often does not fit in RAM. Many clustering algorithms are thus severely memory-bound. This paper proposes a deterministic density ...
    • Sensemaking in Visual Analytics: Processes and Challenges 

      Attfield, Simon J.; Hara, Sukhvinder K.; Wong, B. L. William (The Eurographics Association, 2010)
      Since Visual Analytic systems support human sensemaking it is essential that such systems are designed with characteristics of this process in mind. Drawing on our previous work with lawyers and reports from experienced ...
    • SepEx: Visual Analysis of Class Separation Measures 

      Bernard, Jürgen; Hutter, Marco; Zeppelzauer, Matthias; Sedlmair, Michael; Munzner, Tamara (The Eurographics Association, 2020)
      Class separation is an important concept in machine learning and visual analytics. However, the comparison of class separation for datasets with varying dimensionality is non-trivial, given a) the various possible structural ...
    • A Set-based Visual Analytics Approach to Analyze Retail Data 

      Adnan, Muhammad; Ruddle, Roy A. (The Eurographics Association, 2018)
      This paper explores how a set-based visual analytics approach could be useful for analyzing customers' shopping behavior, and makes three main contributions. First, it describes the scale and characteristics of a real-world ...
    • Smart Query Definition for Content-Based Search in Large Sets of Graphs 

      Landesberger, Tatiana von; Bremm, Sebastian; Bernard, Juergen; Schreck, Tobias (The Eurographics Association, 2010)
      Graphs are used in various application areas such as chemical, social or shareholder network analysis. Finding relevant graphs in large graph databases is thereby an important problem. Such search starts with the definition ...
    • SmartStripes - Looking under the Hood of Feature Subset Selection Methods 

      May, T.; Davey, J.; Ruppert, T. (The Eurographics Association, 2011)
      We propose a visualization method for the diagnosis and interactive refinement of automatic techniques for feature subset selection. So-called filter techniques use statistical ranking measures to identify the most useful ...
    • SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations 

      Buchmüller, Juri F.; Schlegel, Udo; Cakmak, Eren; Keim, Daniel A.; Dimara, Evanthia (The Eurographics Association, 2020)
      Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. ...
    • Steerable Clustering for Visual Analysis of Ecosystems 

      Ahmed, Zafar; Yost, Patrick; McGovern, Amy; Weaver, Chris (The Eurographics Association, 2011)
      One of the great challenges in the geosciences is understanding ecological systems in order to predict changes and responses in space and time at scales from local to global. Ecologists are starting to recognize the value ...
    • Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations 

      Seifert, Christin; Sabol, Vedran; Kienreich, Wolfgang (The Eurographics Association, 2010)
      Challenges in Visual Analytics frequently involve massive repositories, which do not only contain a large number of information artefacts, but also a high number of relevant dimensions per artefact. Dimensionality reduction ...
    • Subpopulation Discovery and Validation in Epidemiological Data 

      Alemzadeh, Shiva; Hielscher, Tommy; Niemann, Uli; Cibulski, Lena; Ittermann, Till; Völzke, Henry; Spiliopoulou, Myra; Preim, Bernhard (The Eurographics Association, 2017)
      Motivated by identifying subpopulations that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort study data, we used subspace clustering to discover such subpopulations. ...
    • Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics 

      Luboschik, Martin; Röhlig, Martin; Kundt, Günther; Stachs, Oliver; Peschel, Sabine; Zhivov, Andrey; Guthoff, Rudolf F.; Winter, Karsten; Schumann, Heidrun (The Eurographics Association, 2014)
      In this paper, we describe a step-wise approach to utilize ophthalmic markers for detecting early diabetic neuropathy (DN), the most common long-term complication of diabetes mellitus. Our approach is based on the Visual ...
    • Supporting Historical Research Through User-Centered Visual Analytics 

      Boukhelifa, Nadia; Giannisakis, Emmanouil; Dimara, Evanthia; Willett, Wesley; Fekete, Jean-Daniel (The Eurographics Association, 2015)
      In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background ...
    • Supporting Visual Analysis in Smart Meeting Rooms 

      Radloff, Axel; Fuchs, Georg; Schumann, Heidrun (The Eurographics Association, 2012)
      Smart meeting rooms as a specific form of multi-display environments (MDE) feature ad-hoc ensembles of heterogeneous devices and software tools to facilitate collective work and information sharing between multiple users. ...
    • SurviVIS: Visual Analytics for Interactive Survival Analysis 

      Corvò, Alberto; Garcia Caballero, Humberto; Westenberg, Michel (The Eurographics Association, 2019)
      The increasing quantity of data in biomedical informatics is leading towards better patient profiling and personalized medicine. Lab tests, medical images, and clinical data represent extraordinary sources for patient ...
    • A System for Query Based Analysis and Visualization 

      Sanderson, Allen R.; Whitlock, Brad; Rübel, Oliver; Childs, Hank; Weber, Gunther; Prabhat, Mr; Wu, Kenseng (The Eurographics Association, 2012)
      Today scientists are producing large volumes of data that they wish to explore and visualize. In this paper we describe a system that combines range-based queries with fast lookup to allow a scientist to quickly and ...
    • TourDino: A Support View for Confirming Patterns in Tabular Data 

      Eckelt, Klaus; Adelberger, Patrick; Zichner, Thomas; Wernitznig, Andreas; Streit, Marc (The Eurographics Association, 2019)
      Seeking relationships and patterns in tabular data is a common data exploration task. To confirm hypotheses that are based on visual patterns observed during exploratory data analysis, users need to be able to quickly ...
    • Towards a Concept how the Structure of Time can Support the Visual Analytics Process 

      Lammarsch, T.; Aigner, W.; Bertone, A.; Miksch, S.; Rind, A. (The Eurographics Association, 2011)
      The primary goal of Visual Analytics (VA) is the close intertwinedness of human reasoning and automated methods. An important task for this goal is formulating a description for such a VA process. We propose the design of ...
    • Towards more Visual Analytics in Learning Analytics 

      Ritsos, Panagiotis D.; Roberts, Jonathan C. (The Eurographics Association, 2014)
      Learning Analytics is the collection, management and analysis of students' learning. It is used to enable teachers to understand how their students are progressing and for learners to ascertain how well they are performing. ...