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
收藏
页码：217 / 234
页数：17
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