Search (132 results, page 1 of 7)

  • × theme_ss:"Visualisierung"
  • × language_ss:"e"
  1. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.03
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    Date
    1. 2.2016 18:25:22
    Pages
    S.127-132
  2. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.02
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
    Footnote
    Rez. in: JASIST 67(2017) no.2, S.533-536 (White, H.D.).
    Pages
    XI, 211 S
  3. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.02
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    Date
    22. 7.2010 19:36:46
    Source
    Knowledge organization. 37(2010) no.3, S.157-172
  4. Thissen, F.: Screen-Design-Manual : Communicating Effectively Through Multimedia (2003) 0.01
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    Date
    22. 3.2008 14:29:25
    Pages
    336 S
  5. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.01
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    Date
    22. 7.2006 16:11:05
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.359-377
  6. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.01
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 68(2016) no.3, S.265-285
  7. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.01
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    Date
    9.12.2018 16:22:25
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445
  8. Osinska, V.; Kowalska, M.; Osinski, Z.: ¬The role of visualization in the shaping and exploration of the individual information space : part 1 (2018) 0.01
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    Date
    21.12.2018 17:22:13
    Source
    Knowledge organization. 45(2018) no.7, S.547-558
  9. Spero, S.: LCSH is to thesaurus as doorbell is to mammal : visualizing structural problems in the Library of Congress Subject Headings (2008) 0.01
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    Pages
    S.203
    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
  10. Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (2014) 0.01
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    Pages
    S.343-350
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  11. 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".
  12. Information visualization in data mining and knowledge discovery (2002) 0.01
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    Date
    23. 3.2008 19:10:22
    Footnote
    Rez. in: JASIST 54(2003) no.9, S.905-906 (C.A. Badurek): "Visual approaches for knowledge discovery in very large databases are a prime research need for information scientists focused an extracting meaningful information from the ever growing stores of data from a variety of domains, including business, the geosciences, and satellite and medical imagery. This work presents a summary of research efforts in the fields of data mining, knowledge discovery, and data visualization with the goal of aiding the integration of research approaches and techniques from these major fields. The editors, leading computer scientists from academia and industry, present a collection of 32 papers from contributors who are incorporating visualization and data mining techniques through academic research as well application development in industry and government agencies. Information Visualization focuses upon techniques to enhance the natural abilities of humans to visually understand data, in particular, large-scale data sets. It is primarily concerned with developing interactive graphical representations to enable users to more intuitively make sense of multidimensional data as part of the data exploration process. It includes research from computer science, psychology, human-computer interaction, statistics, and information science. Knowledge Discovery in Databases (KDD) most often refers to the process of mining databases for previously unknown patterns and trends in data. Data mining refers to the particular computational methods or algorithms used in this process. The data mining research field is most related to computational advances in database theory, artificial intelligence and machine learning. This work compiles research summaries from these main research areas in order to provide "a reference work containing the collection of thoughts and ideas of noted researchers from the fields of data mining and data visualization" (p. 8). It addresses these areas in three main sections: the first an data visualization, the second an KDD and model visualization, and the last an using visualization in the knowledge discovery process. The seven chapters of Part One focus upon methodologies and successful techniques from the field of Data Visualization. Hoffman and Grinstein (Chapter 2) give a particularly good overview of the field of data visualization and its potential application to data mining. An introduction to the terminology of data visualization, relation to perceptual and cognitive science, and discussion of the major visualization display techniques are presented. Discussion and illustration explain the usefulness and proper context of such data visualization techniques as scatter plots, 2D and 3D isosurfaces, glyphs, parallel coordinates, and radial coordinate visualizations. Remaining chapters present the need for standardization of visualization methods, discussion of user requirements in the development of tools, and examples of using information visualization in addressing research problems.
    Pages
    xiii, 407 S
    Type
    s
  13. Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing to text mining environment : NP recognition model to knowledge visualization and information (2003) 0.00
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    Pages
    S.403-413
  14. Schallier, W.: What a subject search interface can do (2004) 0.00
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    Source
    Extensions and corrections to the UDC. 26(2004), S.18-28
  15. Zhang, J.: TOFIR: A tool of facilitating information retrieval : introduce a visual retrieval model (2001) 0.00
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    Source
    Information processing and management. 37(2001) no.4, S.639-657
  16. Wilson, M.: Interfaces for information retrieval (2011) 0.00
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    Pages
    S.139-170
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    Pages
    S.3-18

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