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Rapid Miner Session CIS 600 Analytical Data Mining,EECS, SU12015-8-30 Three steps for use  Assign the dataset file first  Select functionality  Execute.

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Presentation on theme: "Rapid Miner Session CIS 600 Analytical Data Mining,EECS, SU12015-8-30 Three steps for use  Assign the dataset file first  Select functionality  Execute."— Presentation transcript:

1 Rapid Miner Session CIS 600 Analytical Data Mining,EECS, SU12015-8-30 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

2 Step 1 22015-8-30  Download and Install Rapid Miner http://rapid-i.com/content/view/130/82/  Create a Rapid Miner Project ( click “new” icon ) CIS 600 Analytical Data Mining,EECS, SU

3 Step 1 32015-8-30  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. Setting data source CIS 600 Analytical Data Mining,EECS, SU

4 Step1 42015-8-30  Assign the data file to data source Setting data source(cont) CIS 600 Analytical Data Mining,EECS, SU

5 Step1 52015-8-30  Assign label_attribute to arffExampleSource, this parameter will let RapidMiner know which attribute in your data source is the class attribute. Setting lable_attribute CIS 600 Analytical Data Mining,EECS, SU

6 Step2 62015-8-30  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. Select functionality i.e analysis type CIS 600 Analytical Data Mining,EECS, SU

7 Step2 72015-8-30  Decide the detail parameters for clustering. Decide Parameters CIS 600 Analytical Data Mining,EECS, SU

8 Step3 82015-8-30  Execute. click the “ ” button in top side to run the clustering. Execute CIS 600 Analytical Data Mining,EECS, SU

9 Step3 92015-8-30  Check results from output panel. There are different output panels if you choose different analysis function. Check results – text view CIS 600 Analytical Data Mining,EECS, SU

10 Step3 102015-8-30  Graph view Check results – graph view CIS 600 Analytical Data Mining,EECS, SU


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