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RMAP: a system for visualizing data in multidimensional relevance space

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relevance measures of the objects are not significant. We flatten the multidimensionality of the feature space into a 2D relevance map, capturing the inter-relations among the features. The prototype, extract information from the World Wide Web from query engines, automatically categorizes and clusters the information and allow the user to visualize.

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Authors and Affiliations

  1. Computer Science Department, School of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv 69978, Israel, e-mail: {jackie,daniel,milo}@math.tau.ac.il, , , , , , IL

    Jackie Assa, Daniel Cohen-Or & Tova Milo

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  1. Jackie Assa
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  2. Daniel Cohen-Or
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  3. Tova Milo
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Assa, J., Cohen-Or, D. & Milo, T. RMAP: a system for visualizing data in multidimensional relevance space. The Visual Computer 15, 217–234 (1999). https://doi.org/10.1007/s003710050174

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  • DOI: https://doi.org/10.1007/s003710050174

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