Search for dissertations about: "visual analytics"

Showing result 1 - 5 of 16 swedish dissertations containing the words visual analytics.

  1. 1. Visual Storytelling Interacting in School : Learning Conditions in the Social Science Classroom

    Author : Linnéa Stenliden; Jörgen Nissen; Eva Reimers; Mikael Jern; Monika Vinterek; Linköpings universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Data visualization; geovisual analytics; visual storytelling; interaction; learning activities; learning conditions; social science education; Data visualisering; geovisual analytics; visual storytelling; interaktion; läraktivitet; lärandevillkor; samhällsorienterande undervisning;

    Abstract : The aim of this compilation thesis is to understand how technology for visual storytelling can be shaped and used in relation to social science education in primary school, but also how social dimensions, technical and other matters create emerging learning conditions in such an educational setting. The visual storytelling technology introduced and used in the study is ‘the Statistics eXplorer platform, a geovisual analytics. READ MORE

  2. 2. Visual analytics for maritime anomaly detection

    Author : María José Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Maria Riveiro; Örebro universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Computer and Systems Science; Data- och systemvetenskap; Technology; Teknik;

    Abstract : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. READ MORE

  3. 3. Visualizing Cluster Patterns at Scale : A Model and a Library

    Author : Elio Ventocilla; Maria Riveiro; Göran Falkman; Rafael M. Martins; Katerina Vrostou; Högskolan i Skövde; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Visual analytics; cluster patterns; big data; unsupervised learning; multidimensional projections; vector quantization; progressive visual analytics; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Large quantities of data are being collected and analyzed by companies and institutions, with the aim of extracting knowledge and value. When little is known about the data at hand, analysts engage in exploratory data analysis to achieve a better understanding. READ MORE

  4. 4. 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

  5. 5. Architecture and Applications of a Geovisual Analytics Framework

    Author : Quan Ho; Mikael Jern; Gennady Andrienko; Linköpings universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; GeoVisual Analytics; toolkits; frameworks; web-enabled; visualization; interactive visualizations; interaction; interaction techniques; visual data analysis; component architecture; storytelling;

    Abstract : The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. READ MORE