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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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Visual representation of document-oriented information on the web

Zlobin, Dmitriy; Roudometkine, Alexei
ACM SIGAPL APL Quote Quad , Volume 30 (4)
Association for Computing MachineryJun 1, 2000

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