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

页码：217 / 234

页数：17

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