.png){kind=icon}
Return
CoDe Modeling of Graph Composition for Data Warehouse Report Visualization
.png){kind=icon}
PRE
AI
DOI：10.1109/TKDE.2013.24.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The visualization of information contained in reports is an important aspect of human-computer interaction, for both the accuracy and the complexity of relationships between data must be preserved. A greater attention has been paid to individual report visualization through different types of standard graphs (Histograms, Pies, etc.). However, this kind of representation provides separate information items and gives no support to visualize their relationships which are extremely important for most decision processes. This paper presents a design methodology exploiting the visual language CoDe [1] based on a logic paradigm. CoDe allows to organize the visualization through the CoDe model which graphically represents relationships between information items and can be considered a conceptual map of the view. The proposed design methodology is composed of four phases: the CoDe Modeling and OLAP Operation pattern definition phases define the CoDe model and underlying metadata information, the OLAP Operation phase physically extracts data from a data warehouse and the Report Visualization phase generates the final visualization. Moreover, a case study on real data is provided.
Keywords:
Information visualization
cognitive systems
OLAP reports
data and knowledge visualization
user interfaces
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10.4
Papers:
6.9K
Citations:
3.2W
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveA Tale of two Busts (and a Boom): Irish Social Housing before and after the Global Financial Crisis
PREAI
ShareSave
View more