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7 篇文献
 
Opportunity map: a visualization framework for fast identification of actionable knowledge  
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interesting and actionable r......
International Conference on Information and Knowledge Management  2005
2次引用 0 0
A Visualization-based Intelligent Decision Support System Conceptual Model  
the development of Intelligent Decision Support Systems IDSS is till requiring much effort to cope with both: the complexity of today decisions and daily flood of risky decisions. However evolving a c......
International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering  2008
1次引用 0 0
Visual data mining modeling techniques for the visualization of mining outcomes  
The visual senses for humans have a unique status, offering a very broadband channel for information flow. Visual approaches to analysis and mining attempt to take advantage of our abilities to percei......
Journal of Visual Languages and Computing  2003
12次引用 0 0
Visualizing concept drift  
We describe a visualization technique that uses brushed, parallel histograms to aid in understanding concept drift in multidimensional problem spaces. This technique illustrates the relationship betwe......
Knowledge Discovery and Data Mining  2003
5次引用 0 0
3D Class-Preserving Projection Technique for the Representation of N-Dimensional Classified Data and Association Rules  
The visual senses for humans have a unique status, offering a very broadband channel for information flow. Visual approaches to analysis and mining attempt to take advantage of our abilities to percei......
0次引用 0 0
A Visual Data Mining Framework for Convenient Identification  
Data mining algorithms usually generate a large number of rules, which may not always be useful to human users. In this project, we propose a novel visual data-mining framework, called Opportunity Map......
0次引用 0 0
Visual Data Mining Techniques for Geo-Spatial Data  
On our attempt to handle adequately the age of the data glut, exploring and analyzing the vast volumes of data is becoming increasingly challenging, as never before in history has data been generated ......
0次引用 0 0

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