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Data Mining
Data Mining:
A process of analysing business data (often stored in a data warehouse) to uncover hidden trends and patterns and establish relationships. Data mining is normally performed by expert analysts who use specialist software tools.
From: www.oranz.co.uk/glossary_text.htm
The process of using statistical techniques to discover subtle relationships between data items, and the construction of predictive models based on them. The process is not the same as just using an OLAP tool to find exceptional items. Generally, data mining is a very different and more specialist application than OLAP, and uses different tools from different vendors. Normally the users are different, too. OLAP vendors have had little success with their data mining efforts.
From : www.olapreport.com/glossary.htm
GGobi
Platform : Win 32, Linux
License : Common Public License, GPL
Appears in these categories : Data Mining Data Visualization, Charting 3D Graphics, Animation, Rendering 2D Graphics, Animation
License : Common Public License, GPL
Appears in these categories : Data Mining Data Visualization, Charting 3D Graphics, Animation, Rendering 2D Graphics, Animation
GGobi is an open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive graphics such as tours, as well as familiar graphics such as the scatterplot, barchart and parallel coordinates plots. Plots are interactive and linked with brushing and identification.
It includes 2-D displays of projections of points and edges in high-dimensional spaces, scatterplot matrices, parallel coordinate, time series plots and bar charts. Projection tools include average shifted histograms of single variables, plots of pairs of variables, and grand tours of multiple variables. Points can be labelled and brushed with glyphs and colors. Several displays can be open simultaneously and linked for labelling and brushing. Missing data are accommodated and their patterns can be examined.
It includes 2-D displays of projections of points and edges in high-dimensional spaces, scatterplot matrices, parallel coordinate, time series plots and bar charts. Projection tools include average shifted histograms of single variables, plots of pairs of variables, and grand tours of multiple variables. Points can be labelled and brushed with glyphs and colors. Several displays can be open simultaneously and linked for labelling and brushing. Missing data are accommodated and their patterns can be examined.
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