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  • × theme_ss:"Visualisierung"
  1. Eibl, M.: Visualisierung im Document Retrieval : Theoretische und praktische Zusammenführung von Softwareergonomie und Graphik Design (2003) 0.02 
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    Abstract
    Bei der Frage nach der Ästhetik in der Ergonomie hat sich in den letzten Jahren ein Wandel vollzogen. Noch in den 1990er Jahren missachteten Ergonomen ästhetische Faktoren in der Gestaltung von Benutzungsschnittstellen weitgehend. Inzwischen hat sich allerdings das gegenseitige Interesse von Ergonomen und Designern verstärkt, so dass sich Herausgeber und Autor entschlossen, mit dem vorliegenden Band eine erweiterte und aktualisierte Ausgabe der vergriffenen ersten Auflage vorzustellen. Einige Teile der Erstauflage sind gestrafft, andere aktualisiert. Ferner wurden Teile hinzugefügt, die den aktuellen Stand der Thematik in Theorie und Praxis widerspiegeln. Der nun vorliegende Forschungsbericht enthält über 50 neue Textseiten, 39 neue Abbildungen und fast 90 neu eingearbeitete Referenzen. Weitere Informationen zum Inhalt von Buch und CD-ROM sowie eine tabellarische Gbersicht über die Veränderungen gegenüber der ersten Auflage finden sich im Internet unter www.gesis.org/Information/Forschungsuebersichten/Forschungsberichte/Visualisierung2.htm, Informationen zur (vergriffenen) ersten Auflage unter www.gesis.org/Information/Forschungsuebersichten/Forschungsberichte/Visualisierung.htm.
    Date
    29. 1.2005 19:19:29
    Pages
    276 S. + CD-ROM
  2. Reiterer, H.; Jetter, H.-C.: ¬Das Projekt Mediovis : visuelle Exploration digitaler Bibliotheken (2007) 0.01 
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    Abstract
    Ziel des Forschungsprojektes MedioVis, das in enger Kooperation mit der Bibliothek der Universität Konstanz durchgeführt wird, ist die Realisierung einer innovativen visuellen Benutzungsschnittstelle zur analytischen Suche und zum interessengeleiteten Stöbern im Katalog der Konstanzer "Mediothek". Deren elektronische und multimediale Titel (z.B. Videoaufzeichnungen, DVD, Tonträger, CD-ROM) sind ein bedeutsamer Bestandteil des Serviceangebots der Bibliothek der Universität Konstanz, der gerade in dem Bereich der Theater-, Film- und Medienwissenschaften, aber auch in der Fremdsprachenausbildung oder zu Unterhaltungszwecken intensiv von Studenten, Lehrpersonen und Wissenschaftlern genutzt wird. MedioVis leistet dabei einen wesentlichen Beitrag zur Verbesserung und Erweiterung der nutzerorientierten Dienstleistungen, indem dem Bibliotheksnutzer nicht nur ein effizientes Suchen, sondern auch ein interessengeleitetes Stöbern im Katalog mittels spezieller Visualisierungen und neuartigen Interaktionskonzepten ermöglicht wird. Dabei wird er von der ersten Eingrenzung des Katalogs bis zur Selektion des gewünschten Titels begleitet, wobei zur Entscheidungsunterstützung eine Anreicherung mit ergänzenden Metadaten aus dem World Wide Web stattfindet. Das Projekt wird dabei von der Deutschen Forschungsgemeinschaft (DFG) im Förderprogramm für Wissenschaftliche Literaturversorgungs- und Informationssysteme gefördert, um somit die Schaffung eines für andere Bibliotheken frei verfügbaren und nachnutzbaren Systems zu unterstützen und dieses unter Realbedingungen zu testen. Zu diesem Zweck wird MedioVis von der UB Konstanz seit dem Sommer 2004 im operativen Testbetrieb auf Arbeitsplätzen innerhalb der Mediothek angeboten. Die Motivation für das Projekt MedioVis erwuchs aus Gesprächen mit Benutzern und deren Beobachtung bei der Verwendung des traditionellen bibliographischen Webkatalogs bzw. OPACs "KOALA", der gerade für die Domäne "Film" in den Augen der Befragten nur wenig geeignet war. Als Hauptproblem erwies sich dabei, dass die Entscheidungsunterstützung bei der Filmrecherche für den Benutzer durch einen traditionellen bibliographischen Katalog nur unzureichend ist
    Source
    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
  3. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.01 
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    Abstract
    Generally, Computer Science (CS) classifications are inconsistent in taxonomy strategies. t is necessary to develop CS taxonomy research to combine its historical perspective, its current knowledge and its predicted future trends - including all breakthroughs in information and communication technology. In this paper we have analyzed the ACM Computing Classification System (CCS) by means of visualization maps. The important achievement of current work is an effective visualization of classified documents from the ACM Digital Library. From the technical point of view, the innovation lies in the parallel use of analysis units: (sub)classes and keywords as well as a spherical 3D information surface. We have compared both the thematic and semantic maps of classified documents and results presented in Table 1. Furthermore, the proposed new method is used for content-related evaluation of the original scheme. Summing up: we improved an original ACM classification in the Computer Science domain by means of visualization.
    Date
    6. 1.1997 18:30:28
    22. 7.2010 19:36:46
  4. Palm, F.: QVIZ : Query and context based visualization of time-spatial cultural dynamics (2007) 0.01 
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
    Date
    14. 1.2008 14:38:28
    20. 1.2008 17:28:29
  5. Eibl, M.: Visualisierung im Document Retrieval : Theoretische und praktische Zusammenführung von Softwareergonomie und Graphik Design (2000) 0.00 
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    Pages
    241 S. + CD-ROM
  6. Information visualization : human-centered issues and perspectives (2008) 0.00 
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    Abstract
    This book is the outcome of the Dagstuhl Seminar on "Information Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007. Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data.This book documents and extends the findings and discussions of the various sessions in detail. The seven contributions cover the most important topics: Part I is on general reflections on the value of information visualization; evaluating information visualizations; theoretical foundations of information visualization; teaching information visualization. Part II deals with specific aspects on creation and collaboration: engaging new audiences for information visualization; process and pitfalls in writing information visualization research papers; and visual analytics: definition, process, and challenges.
    Content
    Inhalt: Part I. General Reflections The Value of Information Visualization / Jean-Daniel Fekete, Jarke J van Wijk, John T. Stasko, Chris North Evaluating Information Visualizations / Sheelagh Carpendale Theoretical Foundations of Information Visualization / Helen C. Purchase, Natalia Andrienko, T.J. Jankun-Kelly, Matthew Ward Teaching Information Visualization / Andreas Kerren, John T. Stasko, Jason Dykes Part II. Specific Aspects Creation and Collaboration: Engaging New Audiences for Information Visualization / Jeffrey Heer, Frank van Ham, Sheelagh Carpendale, Chris Weaver, Petra Isenberg Process and Pitfalls in Writing Information Visualization Research Papers / Tamara Munzner Visual Analytics: Definition, Process, and Challenges / Daniel Keim, Gennady Andrienko, Jean-Daniel Fekete, Carsten Görg, Jörn Kohlhammer, Guy Melancon
  7. Mercun, T.; Zumer, M.; Aalberg, T.: Presenting bibliographic families : Designing an FRBR-based prototype using information visualization (2016) 0.00 
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    Date
    15. 4.2016 14:29:41
  8. Koch, T.; Golub, K.; Ardö, A.: Users browsing behaviour in a DDC-based Web service : a log analysis (2006) 0.00 
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    Date
    28. 9.2008 19:14:15
  9. Wattenberg, M.; Viégas, F.; Johnson, I.: How to use t-SNE effectively (2016) 0.00 
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    Abstract
    Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively. We'll walk through a series of simple examples to illustrate what t-SNE diagrams can and cannot show. The t-SNE technique really is useful-but only if you know how to interpret it.
  10. Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 0.00 
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    Abstract
    The paper investigates the acceleration of t-SNE-an embedding technique that is commonly used for the visualization of high-dimensional data in scatter plots-using two tree-based algorithms. In particular, the paper develops variants of the Barnes-Hut algorithm and of the dual-tree algorithm that approximate the gradient used for learning t-SNE embeddings in O(N*logN). Our experiments show that the resulting algorithms substantially accelerate t-SNE, and that they make it possible to learn embeddings of data sets with millions of objects. Somewhat counterintuitively, the Barnes-Hut variant of t-SNE appears to outperform the dual-tree variant.
  11. Eibl, M.; Mandl, T.: ¬Die Qualität von Visualisierungen : eine Methode zum Vergleich zweidimensionaler Karten (2004) 0.00 
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    Date
    29. 1.2005 19:17:50
  12. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.00 
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    Date
    20. 1.2015 18:30:22
  13. Maaten, L. van den: Learning a parametric embedding by preserving local structure (2009) 0.00 
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    Abstract
    The paper presents a new unsupervised dimensionality reduction technique, called parametric t-SNE, that learns a parametric mapping between the high-dimensional data space and the low-dimensional latent space. Parametric t-SNE learns the parametric mapping in such a way that the local structure of the data is preserved as well as possible in the latent space. We evaluate the performance of parametric t-SNE in experiments on three datasets, in which we compare it to the performance of two other unsupervised parametric dimensionality reduction techniques. The results of experiments illustrate the strong performance of parametric t-SNE, in particular, in learning settings in which the dimensionality of the latent space is relatively low.
  14. Vizine-Goetz, D.: DeweyBrowser (2006) 0.00 
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    Date
    28. 9.2008 19:16:29
  15. Maaten, L. van den; Hinton, G.: Visualizing data using t-SNE (2008) 0.00 
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    Abstract
    We present a new technique called "t-SNE" that visualizes high-dimensional data by giving each datapoint a location in a two or three-dimensional map. The technique is a variation of Stochastic Neighbor Embedding (Hinton and Roweis, 2002) that is much easier to optimize, and produces significantly better visualizations by reducing the tendency to crowd points together in the center of the map. t-SNE is better than existing techniques at creating a single map that reveals structure at many different scales. This is particularly important for high-dimensional data that lie on several different, but related, low-dimensional manifolds, such as images of objects from multiple classes seen from multiple viewpoints. For visualizing the structure of very large data sets, we show how t-SNE can use random walks on neighborhood graphs to allow the implicit structure of all of the data to influence the way in which a subset of the data is displayed. We illustrate the performance of t-SNE on a wide variety of data sets and compare it with many other non-parametric visualization techniques, including Sammon mapping, Isomap, and Locally Linear Embedding. The visualizations produced by t-SNE are significantly better than those produced by the other techniques on almost all of the data sets.
  16. Trentin, G.: Graphic tools for knowledge representation and informal problem-based learning in professional online communities (2007) 0.00 
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    Date
    6. 1.1997 18:30:28
    28. 2.2008 14:16:29
  17. Trunk, D.: Inhaltliche Semantische Netze in Informationssystemen : Verbesserung der Suche durch Interaktion und Visualisierung (2005) 0.00 
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    Pages
    96 S. + CD
  18. Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012) 0.00 
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    Abstract
    Techniques for multidimensional scaling visualize objects as points in a low-dimensional metric map. As a result, the visualizations are subject to the fundamental limitations of metric spaces. These limitations prevent multidimensional scaling from faithfully representing non-metric similarity data such as word associations or event co-occurrences. In particular, multidimensional scaling cannot faithfully represent intransitive pairwise similarities in a visualization, and it cannot faithfully visualize "central" objects. In this paper, we present an extension of a recently proposed multidimensional scaling technique called t-SNE. The extension aims to address the problems of traditional multidimensional scaling techniques when these techniques are used to visualize non-metric similarities. The new technique, called multiple maps t-SNE, alleviates these problems by constructing a collection of maps that reveal complementary structure in the similarity data. We apply multiple maps t-SNE to a large data set of word association data and to a data set of NIPS co-authorships, demonstrating its ability to successfully visualize non-metric similarities.
  19. Salaba, A.; Mercun, T.; Aalberg, T.: Complexity of work families and entity-based visualization displays (2018) 0.00 
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  20. Osiñska, V.: Visual analysis of classification scheme (2010) 0.00 
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    Date
    6. 1.1997 18:30:28
    6. 1.2011 19:29:12

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