Exforsys.com
 
Home Tutorials MSAS
 

Tutorial 67: MSAS - Introduction to Data Mining

 

Tutorial 67: MSAS - Introduction to Data Mining - Page 3

Page 3 of 3



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.










First Page: Tutorial 67: MSAS - Introduction to Data Mining


Read Next: Tutorial 68: MSAS - Building a Relational Decision Tree Model



 

 

Comments



Post Your Comment:

Members Please Login
Your Name:*
e-mail ID:(required for notification)*
Image Verification: 
 
 Subscribe    

Sponsored Links

 

Subscribe via RSS


Get Daily Updates via Subscribe to Exforsys Free Training via email


Get Latest Free Training Updates delivered directly to your Inbox...

Enter your email address:


 

Subscribe to Exforsys Free Training via RSS
 

 
Partners -  Privacy and Legal Policy -  Site News -  Contact   Sitemap  

Copyright © 2000 - 2009 exforsys.com. All Rights Reserved

Page copy protected against web site content infringement by Copyscape