Transcript SQL SERVER SESSION - Syracuse University

Rapid Miner Session
Three steps for use
Assign the dataset file first
Assign the analysis type you want
Execute your analysis by RM, change the type if needed.
Sample Datasets
You can use the ARFF format datasets provide in course website.
Or, Proben Datasets from UCI, you need to change the data
format to ARFF before use. Can be found in our website also.
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Step 1
Download and Install Rapid Miner
http://rapid-i.com/content/view/130/82/
Create a Rapid Miner Project ( click “new” icon )
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Step 1
Setting data source
Set a data source for project , usually is a data file( arff format or
excel spread format), we use arff file as example
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Step1
Setting data source(cont)
Assign the data file to data source
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Step2
Select analysis type
Choose one of the data mining analysis type for project, such as
clustering, classification, decision tree, etc.
For example, we choose the clustering. Right click the “Root”
menu of left side to select the “simpleKMean” method to do the
clustering as below:
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Step2
Decide Parameters
Decide the detail parameters for clustering.
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Step3
Execute
Execute . click the “ ” button in top side to run the clustering.
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Step3
Check results
Check results from output panel. There are many different output
panels if you choose different analysis function.
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