RMAP: a system for visualizing data in multidimensional relevance space

被引：0
|
作者：
Jackie Assa
Daniel Cohen-Or
Tova Milo
机构：
[1] Computer Science Department,
[2] School of Mathematical Sciences,undefined
[3] Tel-Aviv University,undefined
[4] Ramat-Aviv 69978,undefined
[5] Israel,undefined
[6] e-mail: {jackie,undefined
[7] daniel,undefined
[8] milo}@math.tau.ac.il,undefined
来源：
The Visual Computer | 1999年 / 15卷
关键词：
Key words: User information; Data visualization; Relevance map; World Wide Web; Search engines;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
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页码：217 / 234
页数：17
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