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Visual representation of document-oriented information on the web

Published: 01 June 2000 Publication History
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    Ever increasing volumes of data motivate us to find new processing and storage methods for provide quick retrieval of information. Users of conventional text-based search engines have faced the problem of digging through thousands of hits returned from keyword searches. There are alternative ways of storing and searching document-related data; these techniques support more direct and simplified document searches guiding the user towards fewer but higher quality selections.One such method is known as WebSOM, Web Self-Organizing Maps, which are based on Kohonen's neural network approach and modern graphical user interfaces. We will show, through the use of APL with this and other methods of information analysis, how to visualize this type of search.

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    Kohonen, Teuvo. Self-Organizing Maps, 2nd Ed. (Springer Series in Information Sciences, 30), 1999.
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    Skomorokhov, Alexander and Zlobin, Dmitriy "Self-Organizing Maps in APL" Vector, in print.
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    Cited By

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    • (2004)Multidimensional Visualization and Navigation in Search ResultsKnowledge-Based Intelligent Information and Engineering Systems10.1007/978-3-540-30132-5_86(620-629)Online publication date: 2004

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    cover image ACM Conferences
    APL '00: Proceedings of the international conference on APL-Berlin-2000 conference
    July 2000
    258 pages
    ISBN:1581131828
    DOI:10.1145/570475

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 June 2000

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    • (2004)Multidimensional Visualization and Navigation in Search ResultsKnowledge-Based Intelligent Information and Engineering Systems10.1007/978-3-540-30132-5_86(620-629)Online publication date: 2004

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