RMAP: a system for visualizing data in multidimensional relevance space |
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| Authors: | Jackie Assa Daniel Cohen-Or Tova Milo |
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| Affiliation: | (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 |
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| Abstract: | exact 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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| Keywords: | : User information Data visualization Relevance map World Wide Web Search engines |
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