Search for dissertations about: "Informations- och programvisualisering"

Showing result 1 - 5 of 6 swedish dissertations containing the words Informations- och programvisualisering.

  1. 1. Guided Interaction and Collaborative Exploration in Heterogeneous Network Visualizations

    Author : Björn Zimmer; Andreas Kerren; Hans-Jörg Schulz; Linnéuniversitetet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information Visualization; Multivariate Networks; Visual Analytics; Exploration; Interaction; Collaboration; Provenance; Guidance; Informations- och programvisualisering; Information and software visualization;

    Abstract : The visual exploration of large and complex network structures remains a challenge for many application fields, such as systems biology or social sciences. Often, various domain experts would like to work together to improve the analysis time or the quality of the analysis results. READ MORE

  2. 2. User-Centered Collaborative Visualization

    Author : Daniel Cernea; Andreas Kerren; Achim Ebert; Helen C. Purchase; Linnéuniversitetet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; collaborative information visualization; computer-supported cooperative work CSCW ; user-centered design; emotion visualization; affective user interface; tabletop; touch surfaces; nestable tangibles; subjective evaluation; Information and software visualization; Informations- och programvisualisering; Computer Science; Datavetenskap;

    Abstract : The last couple of years have marked the entire field of information technology with the introduction of a new global resource, called data. Certainly, one can argue that large amounts of information and highly interconnected and complex datasets were available since the dawn of the computer and even centuries before. READ MORE

  3. 3. Sentiment and Stance Visualization of Textual Data for Social Media

    Author : Kostiantyn Kucher; Andreas Kerren; Carita Paradis; Magnus Sahlgren; Ross Maciejewski; Linnéuniversitetet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; stance visualization; sentiment visualization; text visualization; stance analysis; sentiment analysis; opinion mining; visualization; interaction; visual analytics; NLP; text mining; text analytics; social media; Informations- och programvisualisering; Information and software visualization;

    Abstract : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. READ MORE

  4. 4. Multivariate Networks : Visualization and Interaction Techniques

    Author : Ilir Jusufi; Andreas Kerren; Jessie Kennedy; Linnéuniversitetet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information Visualization; Multivariate Networks; Visual Analytics; Exploration; Interaction; Computer Science; Datavetenskap; Information and software visualization; Informations- och programvisualisering;

    Abstract : As more and more data is created each day, researchers from different science domains are trying to make sense of it. A lot of this data, for example our connections to friends on different social networking websites, can be modeled as graphs, where the nodes are actors and the edges are relationships between them. READ MORE

  5. 5. Explanatory visualization of multidimensional projections

    Author : Rafael Messias Martins; The Netherlands Brazil ; University of Groningen University of São Paulo; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Informations- och programvisualisering; Information and software visualization;

    Abstract : One way of getting insight into large data collections (known nowadays under the name of ‘big data’) is by depicting them visually and next interactively exploring the resulting visualizations. However, both the number of data points or measurements, and the number of dimensions describing each measurement, can be very large – much like a data table can have many rows and columns. READ MORE