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RapidMiner Data Analysis Guide - Easy Steps for Beginners

Learn how to perform data analysis using RapidMiner with simple steps. Assign datasets, choose analysis type, and execute your analysis in no time. Get sample ARFF format datasets for practice. Download and Install RapidMiner easily to begin your project. Set data sources, assign label attributes, select analysis types, decide parameters, and execute with just a few clicks. Check results in text and graph views for thorough analysis.

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RapidMiner Data Analysis Guide - Easy Steps for Beginners

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  1. 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, available on: http://ratandon.mysite.syr.edu/cse787/Labs.htm CSE/CIS 787 Analytical Data Mining, Dept. of EECS, SU

  2. Step 1 • 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 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. CIS 600 Analytical Data Mining,EECS, SU

  4. Step1 Setting data source(cont) • Assign the data file to data source CIS 600 Analytical Data Mining,EECS, SU

  5. 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. CIS 600 Analytical Data Mining,EECS, SU

  6. 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. CIS 600 Analytical Data Mining,EECS, SU

  7. Step2 Decide Parameters • Decide the detail parameters for clustering. CIS 600 Analytical Data Mining,EECS, SU

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

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

  10. Step3 Check results – graph view • Graph view CIS 600 Analytical Data Mining,EECS, SU

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