SQL SERVER SESSION - Syracuse University

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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

CIS 787 Data Mining,EECS, SU

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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

CIS 787 Data Mining,EECS, SU

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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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