Now showing items 67-86 of 152

    • The News Auditor: Visual Exploration of Clusters of Stories 

      Behrisch, Michael; Krstajic, Milos; Schreck, Tobias; Keim, Daniel A. (The Eurographics Association, 2012)
      In recent years, the quantity of content generated by news agencies and blogs is constantly growing, making it difficult for readers to process and understand this overwhelming amount of data. Online news aggregators present ...
    • On Quality Indicators for Progressive Visual Analytics 

      Angelini, Marco; May, Thorsten; Santucci, Giuseppe; Schulz, Hans-Jörg (The Eurographics Association, 2019)
      A key component in using Progressive Visual Analytics (PVA) is to be able to gauge the quality of intermediate analysis outcomes. This is necessary in order to decide whether a current partial outcome is already good enough ...
    • Ontology Visualization: One Size Does Not Fit All 

      Silva, Isabel da; Santucci, Giuseppe; Freitas, Carla del Sasso (The Eurographics Association, 2012)
      Visualization techniques have been used for ontology representation to allow the comprehension of concepts and properties in specific domains. Due to the complexity and size of ontologies such techniques need to be efficient ...
    • Patent Retrieval: A Multi-Modal Visual Analytics Approach 

      Seebacher, Daniel; Stein, Manuel; Janetzko, Halldór; Keim, Daniel A. (The Eurographics Association, 2016)
      Claiming intellectual property for an invention by patents is a common way to protect ideas and technological advancements. However, patents allow only the protection of new ideas. Assessing the novelty of filed patent ...
    • PCDC - On the Highway to Data - A Tool for the Fast Generation of Large Synthetic Data Sets 

      Bremm, Sebastian; Heß, Martin; Landesberger, Tatiana von; Fellner, Dieter W. (The Eurographics Association, 2012)
      In this paper, we present Parallel Coordinates for Data Creation (PCDC), a new visual-interactive method for the fast generation of labeled multidimensional data sets. Multivariate data need to be analyzed in various domains ...
    • Personalized Visual-Interactive Music Classification 

      Ritter, Christian; Altenhofen, Christian; Zeppelzauer, Matthias; Kuijper, Arjan; Schreck, Tobias; Bernard, Jürgen (The Eurographics Association, 2018)
      We present an interactive visual music classification tool that will allow users to automatically structure music collections in a personalized way. With our approach, users play an active role in an iterative process of ...
    • PipeVis: Interactive Visual Exploration of Pipeline Incident Data 

      Sahaf, Zahra; Marbouti, Mahshid; Mota, Roberta Cabral; Alemasoom, Haleh; Maurer, Frank; Sousa, Mario Costa (The Eurographics Association, 2017)
      The fatal hazards associated with pipeline incidents as well as their frequent occurrence motivate pipeline analysts to learn from historical events and to use that information to prevent future ones by taking proper action. ...
    • Policy-making in a Complex World: Can Visual Analytics Help? 

      Osimo, David; Lampathaki, Fenareti; Charalabidis, Yannis (The Eurographics Association, 2010)
      As government are moving their focus from service provision to regulation, socio-economic issue are revealing more complex than ever to regulate. Traditional top-down and linear models for dealing with risks proved ...
    • polimaps: Supporting Predictive Policing with Visual Analytics 

      Stoffel, Florian; Post, Hanna; Stewen, Marcus; Keim, Daniel A. (The Eurographics Association, 2018)
      Recently, predictive policing has gained a lot of attention, as the benefits, e.g., better crime prevention or an optimized resource planning are essential goals for law enforcement agencies. Commercial predictive policing ...
    • Progressive Parameter Space Visualization for Task-Driven SAX Configuration 

      Loeschcke, Sebastian; Hogräfer, Marius; Schulz, Hans-Jörg (The Eurographics Association, 2020)
      As time series datasets are growing in size, data reduction approaches like PAA and SAX are used to keep them storable and analyzable. Yet, finding the right trade-off between data reduction and remaining utility of the ...
    • Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data 

      Fernstad, Sara Johansson; Macquisten, Alexander; Berrington, Janet; Embleton, Nicholas; Stewart, Christopher (The Eurographics Association, 2020)
      Studies of genome sequenced data are increasingly common in many domains. Technological advances enable detection of hundreds of thousands of biological entities in samples, resulting in extremely high dimensional data. ...
    • Quantifying Uncertainty in Multivariate Time Series Pre-Processing 

      Bors, Christian; Bernard, Jürgen; Bögl, Markus; Gschwandtner, Theresia; Kohlhammer, Jörn; Miksch, Silvia (The Eurographics Association, 2019)
      In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...
    • 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 ...