Transcript PPT

Rapid Miner Session
Three steps for use
Assign the dataset file first
Select functionality
Execute function using Rapid Miner
Sample Datasets
You can use the ARFF format datasets provided in course
website.
Or, Proben Datasets from UCI, you need to change the data
format to ARFF before use.
Sample dataset link:
http://www.cis.syr.edu/~hhuang13/cis600/notes/RM.ppt
Course website link:
http://www.cis.syr.edu/~hhuang13/cis600/index.html
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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 it is a data file( arff format
or excel spread format), we use iris data file as an example.
In the left side, right click on the “Root” icon, and choose the
“ArffExampleSource” menu to select input datasets as below.
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Step1
Setting data source(cont)
Assign the data file to data source
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Step1
Setting lable_attribute
Assign label_attribute to arffExampleSource, this parameter will let RapidMiner
know which attribute in your data source is the class attribute.
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Step2
Select functionality i.e analysis type
Choose one of the data mining analysis type for project, such as
clustering, classification, decision tree, etc.
For example, we create a choose New Operator-> Learner >Supervised ->Wake->Tress->W-J48 to create a W-J48 operator.
This is decision tree functionality.
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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 – text view
Check results from output panel. There are different output
panels if you choose different analysis function.
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Step3
Check results – graph view
Graph view
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