Level of data-a concept for knowledge discovery in information spaces

Author

Lux, Miriam

Author_Institution

Fraunhofer Inst. for Comput. Graphics, Darmstadt, Germany

fYear

1998

fDate

29-31 Jul 1998

Firstpage

131

Lastpage

136

Abstract

The visualization of large volumes of abstract information requires mechanisms to support the user by knowledge discovery. Therefore, we have developed the “level of data” concept, in which the abstract nature of the data and the diverse user community has been taken into account. By using the “iceberg” metaphor, we classified the information space into several layers. The different backgrounds and analysis purposes of the users yield various views on the data. With these different perspectives on the iceberg, the levels of data can be pointed out. For proving the level-of-data concept, we developed a system for the interactive visualization of share prices as a representative example of abstract information. With the integration of this concept, it is possible that any user can perform any analysis within a single system

Keywords

data analysis; data visualisation; deductive databases; financial data processing; interactive systems; knowledge acquisition; stock markets; very large databases; abstract information visualization; data analysis; data level; data views; diverse user community; iceberg metaphor; information spaces; interactive visualization; knowledge discovery; level-of-data concept; share prices; Computer graphics; Data mining; Data visualization; Explosives; Information analysis; Information filtering; Information filters; Information geometry; Internet; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Visualization, 1998. Proceedings. 1998 IEEE Conference on

Conference_Location

London

ISSN

1093-9547

Print_ISBN

0-8186-8509-3

Type

conf

DOI

10.1109/IV.1998.694210

Filename

694210