1 / 10

Rapid Miner Session

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.

hina
Télécharger la présentation

Rapid Miner Session

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 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 CIS 600 Analytical Data Mining,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

More Related