Transcript SQL SERVER SESSION - Syracuse University
2020/4/29
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 ) 2020/4/29
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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 2020/4/29
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Step1
Setting data source(cont) Assign the data file to data source 2020/4/29
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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: 2020/4/29
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Step2
Decide Parameters Decide the detail parameters for clustering.
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Step3
Execute . click the “ ” button in top side to run the clustering.
Execute 2020/4/29
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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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