Search (43 results, page 1 of 3)

  • × theme_ss:"Visualisierung"
  1. Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.05
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    Date
    30. 5.2010 16:22:35
  2. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.04
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
  3. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.03
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    Date
    20. 1.2015 18:30:22
    16. 9.2018 16:13:37
  4. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.02
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    Date
    22. 7.2006 16:11:05
  5. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.02
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    Date
    9.12.2018 16:22:25
  6. Spero, S.: LCSH is to thesaurus as doorbell is to mammal : visualizing structural problems in the Library of Congress Subject Headings (2008) 0.02
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    Date
    16. 2.2009 19:52:34
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  7. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.01
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    Date
    1. 2.2016 18:25:22
  8. Pejtersen, A.M.: Implications of users' value perception for the design of a bibliographic retrieval system (1986) 0.01
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    Date
    5. 8.2006 10:16:29
  9. Pejtersen, A.M.: ¬The BookHouse : an icon based database system for fiction retrieval in public libraries (1992) 0.01
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    Date
    5. 8.2006 10:16:12
  10. Information visualization in data mining and knowledge discovery (2002) 0.01
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    Date
    23. 3.2008 19:10:22
    Footnote
    In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.
  11. Trunk, D.: Semantische Netze in Informationssystemen : Verbesserung der Suche durch Interaktion und Visualisierung (2005) 0.01
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    Date
    30. 1.2007 18:22:41
  12. Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016) 0.01
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    Date
    5. 5.2015 16:04:12
    11.11.2016 14:16:08
  13. Wu, Y.; Bai, R.: ¬An event relationship model for knowledge organization and visualization (2017) 0.01
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    Content
    Beitrag bei: NASKO 2017: Visualizing Knowledge Organization: Bringing Focus to Abstract Realities. The sixth North American Symposium on Knowledge Organization (NASKO 2017), June 15-16, 2017, in Champaign, IL, USA.
    Source
    http://www.iskocus.org/NASKO2017papers/NASKO2017_paper_34.pdf [NASKO 2017, June 15-16, 2017, Champaign, IL, USA]
  14. Miller, C.: Virtual reality and online databases : will "look and feel" literally mean "look" and "feel"? (1992) 0.01
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    Source
    Online. 16(1992) no.6, S.12-15,17-18,20-22,24-27
  15. Christoforidis, A.; Heuwing, B.; Mandl, T.: Visualising topics in document collections : an analysis of the interpretation process of historians (2017) 0.01
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    Date
    6. 4.2017 13:05:16
  16. Olawuyi, N.J.; Akhigbe, B.I.; Afolabi, B.S.: Knowledge organization system interoperability : the cogitation of user interfaces for better interactivity (2018) 0.01
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    Series
    Advances in knowledge organization; vol.16
  17. 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".
  18. Thissen, F.: Screen-Design-Handbuch : Effektiv informieren und kommunizieren mit Multimedia (2001) 0.01
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    Date
    22. 3.2008 14:35:21
  19. 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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    Date
    22. 7.2010 19:36:46
  20. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013) 0.01
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    Date
    4. 2.2015 9:22:39

Years

Languages

  • e 33
  • d 9
  • a 1
  • More… Less…

Types

  • a 33
  • el 10
  • m 6
  • x 2
  • s 1
  • More… Less…