MSAS - Introduction to Data Mining Page - 3

Page 3 of 3

Author : Exforsys Inc. Published on: 6th May 2005

MSAS - Introduction to Data Mining

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11. The OLAP Mining model Editor opens once the mining model is processed and saved. The model has to be processed before it can be browsed. The data mining model editor displays the results of the analysis. The parameters used to create the cluster are displayed in the left pane. The graphical display is visible in the middle pane and the right pane displays the attributes of the results.

12. On clicking a cluster(in this case Cluster 2) the Node path describes what defines the cluster. By default the attribute set is the first one in the model.

13. The number of clusters generated is by default 10. This can be overridden and the number of clusters to be generated can be increased or decreased to get required results. This is done by clicking on the top node in the left hand pane. The Properties window shows the number of clusters to be generated value. Change the number and reprocess the model for it to take effect.

14. The more the number of attributes included in the analysis the more complicated will be the resulting cluster model. The excessive properties can be pruned for better understanding.

15. Note that there is a bar graph or histogram in the Attributes pane of the Mining model Editor. This gives the values for each of the attributes measured. We can click through the clusters to understand the values of each attribute.

16. As we look, we will realize that the attributes tend to drive the groupings of the model and classify them on the basis of Income, occupation and Education. Now further analysis can be done on the mining model.

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