Now showing items 81-100 of 190

    • Multi-Ensemble Visual Analytics via Fuzzy Sets 

      Piccolotto, Nikolaus; Bögl, Markus; Miksch, Silvia (The Eurographics Association, 2023)
      Analysis of ensemble datasets, i.e., collections of complex elements such as geochemical maps, is widespread in science and industry. The elements' complexity arises from the data they capture, which are often multivariate ...
    • Multi-resolution Analysis for Vector Plots of Time Series Data 

      Nguyen, Bao; Hewett, Rattikorn; Dang, Tommy (The Eurographics Association, 2021)
      Vector plots can directly visualize both temporal variation and spatial distribution, so it is interesting to use this type of plot for displaying multivariate time series. However, vector plots cannot reveal global temporal ...
    • Multigraph Visualization for Feature Classification of Brain Network Data 

      Wang, Jiachen; Fang, Shiaofen; Li, Huang; Goñi, Joaquín; Saykin, Andrew J.; Shen, Li (The Eurographics Association, 2016)
      A Multigraph is a set of graphs with a common set of nodes but different sets of edges. Multigraph visualization has not received much attention so far. In this paper, we introduce a multigraph application in brain network ...
    • MultiLayerMatrix: Visualizing Large Taxonomic Datasets 

      Dang, Tuan Nhon; Cui, Hong; Forbes, Angus G. (The Eurographics Association, 2016)
      Adjacency matrices can be a useful way to visualize dense networks. However, they do not scale well as the network size increases due to limited screen space, especially when the number of rows and columns exceeds the pixel ...
    • MultiNode-Explorer: A Visual Analytics Framework for Generating Web-based Multimodal Graph Visualizations 

      Ghani, Sohaib; Elmqvist, Niklas; Ebert, David S. (The Eurographics Association, 2012)
      We propose MultiNode-Explorer, a visual analytics framework that is capable of transforming multidimensional datasets into an entity-relationship (E-R) model and visualizing the data as node-link diagrams. The framework ...
    • Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion 

      Yu, Yuncong; Becker, Tim; Behrisch, Michael (The Eurographics Association, 2022)
      We present SAXRegEx, a method for pattern search in multivariate time series in the presence of various distortions, such as duration variation, warping, and time delay between signals. For example, in the automotive ...
    • 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 ...
    • Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood 

      Pereira-Santos, Davi; Neves, Tácito Trindade Araújo Tiburtino; Carvalho, André C. P. L. F. de; Paulovich, Fernando V. (The Eurographics Association, 2023)
      High-dimensional data are known to be challenging to explore visually. Dimensionality Reduction (DR) techniques are good options for making high-dimensional data sets more interpretable and computationally tractable. An ...
    • 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 ...
    • A Pipeline for Tailored Sampling for Progressive Visual Analytics 

      Hogräfer, Marius; Burkhardt, Jakob; Schulz, Hans-Jörg (The Eurographics Association, 2022)
      Progressive Visual Analytics enables analysts to interactively work with partial results from long-running computations early on instead of forcing them to wait. For very large datasets, the first step is to divide that ...
    • 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 ...
    • A Practical Approach to Provenance Capturing for Reproducible Visual Analytics at an Ocean Research Institute 

      Bernstetter, Armin; Kwasnitschka, Tom; Peters, Isabella (The Eurographics Association, 2023)
      Reproducibility - and the lack thereof - has been an important topic for some time in the field of Human-Computer Interaction. Visual analytics workflows and in extension immersive analytics workflows are no exception there ...
    • 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. ...