Search Results - "Keim, D.A."

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  1. 1

    Information visualization and visual data mining by Keim, D.A.

    “…Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data is becoming increasingly…”
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    Journal Article
  2. 2

    JustClick: Personalized Image Recommendation via Exploratory Search From Large-Scale Flickr Images by Jianping Fan, Keim, D.A., Yuli Gao, Hangzai Luo, Zongmin Li

    “…In this paper, we have developed a novel framework called JustClick to enable personalized image recommendation via exploratory search from large-scale…”
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    Journal Article
  3. 3

    Designing pixel-oriented visualization techniques: theory and applications by Keim, D.A.

    “…Visualization techniques are of increasing importance in exploring and analyzing large amounts of multidimensional information. One important class of…”
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    Journal Article
  4. 4

    Document Cards: A Top Trumps Visualization for Documents by Strobelt, H., Oelke, D., Rohrdantz, C., Stoffel, A., Keim, D.A., Deussen, O.

    “…Finding suitable, less space consuming views for a document's main content is crucial to provide convenient access to large document collections on display…”
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    Journal Article
  5. 5

    Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps by Bak, P., Mansmann, F., Janetzko, H., Keim, D.A.

    “…Spatiotemporal analysis of sensor logs is a challenging research field due to three facts: a) traditional two-dimensional maps do not support multiple events…”
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    Journal Article
  6. 6

    An Interactive Approach for Filtering Out Junk Images From Keyword-Based Google Search Results by Yuli Gao, Jinye Peng, Hangzai Luo, Keim, D.A., Jianping Fan

    “…The keyword-based Google images search engine is now becoming very popular for online image search. Unfortunately, only the text terms that are explicitly or…”
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    Journal Article
  7. 7

    Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats by Mansmann, F., Keim, D.A., North, S.C., Rexroad, B., Sheleheda, D.

    “…The Internet has become a wild place: malicious code is spread on personal computers across the world, deploying botnets ready to attack the network…”
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    Journal Article
  8. 8

    CartoDraw: a fast algorithm for generating contiguous cartograms by Keim, D.A., North, S.C., Panse, C.

    “…Cartograms are a well-known technique for showing geography-related statistical information, such as population demographics and epidemiological data. The…”
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    Journal Article
  9. 9

    Value-Cell Bar Charts for Visualizing Large Transaction Data Sets by Keim, D.A., Hao, M.C., Dayal, U., Lyons, M.

    “…One of the common problems businesses need to solve is how to use large volumes of sales histories, Web transactions, and other data to understand the behavior…”
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    Journal Article
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  11. 11

    Hierarchical pixel bar charts by Keim, D.A., Hao, M.C., Dayal, U.

    “…Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example, only show a rather small number of…”
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    Journal Article
  12. 12

    Indexing the solution space: a new technique for nearest neighbor search in high-dimensional space by Berchtold, S., Keim, D.A., Kriegel, H.-P., Seidl, T.

    “…Similarity search in multimedia databases requires an efficient support of nearest-neighbor search on a large set of high-dimensional points as a basic…”
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    Journal Article
  13. 13

    Guest Editor's Introduction: Special Section on InfoVis by North, S.C., Keim, D.A., Munzner, T.

    “…Three papers in this issue of TVCG are expanded versions of ones presented at the IEEE Symposium on Information Visualization (InfoVis) 2003. These examples…”
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    Journal Article
  14. 14

    Quality Metrics for Information Visualization by Behrisch, M., Blumenschein, M., Kim, N. W., Shao, L., El‐Assady, M., Fuchs, J., Seebacher, D., Diehl, A., Brandes, U., Pfister, H., Schreck, T., Weiskopf, D., Keim, D. A.

    Published in Computer graphics forum (01-06-2018)
    “…The visualization community has developed to date many intuitions and understandings of how to judge the quality of views in visualizing data. The computation…”
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    Journal Article
  15. 15

    Challenges in Visual Data Analysis by Keim, D.A., Mansmann, F., Schneidewind, J., Ziegler, H.

    “…In today's applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these…”
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    Conference Proceeding
  16. 16

    Visualization techniques for mining large databases: a comparison by Keim, D.A., Kriegel, H.-P.

    “…Visual data mining techniques have proven to be of high value in exploratory data analysis, and they also have a high potential for mining large databases. In…”
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    Journal Article
  17. 17

    Visual Analytics on the Financial Market: Pixel-based Analysis and Comparison of Long-Term Investments by Ziegler, H., Nietzschmann, T., Keim, D.A.

    “…In this paper, we describe solutions how pixel-based visualization techniques can support the decision making process for investors on the financial market. We…”
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    Conference Proceeding
  18. 18

    Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement by Panse, C., Sips, M., Keim, D.A., North, S.C.

    “…In many applications, data is collected and indexed by geo-spatial location. Discovering interesting patterns through visualization is an important way of…”
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    Journal Article
  19. 19

    Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps by Ziegler, H., Nietzschmann, T., Keim, D.A.

    “…This work describes two pixel-based paradigms for visual financial time series data analysis that allow analyzing assets in overview and in detail, and offer…”
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    Conference Proceeding
  20. 20

    Literature Fingerprinting: A New Method for Visual Literary Analysis by Keim, D.A., Oelke, D.

    “…In computer-based literary analysis different types of features are used to characterize a text. Usually, only a single feature value or vector is calculated…”
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    Conference Proceeding