Here we present the online demo of the GridMiner application. To start the GridMiner application you will need Java Web start. Before you start you should read the following manual for better understanding the workwise of the GridMiner application. To start the GridMiner Application click on the Start button.

Application demo is not supported anymore!

Gridminer Application Manual: In the following we will explain how to use the GridMiner application based on a concrete example. We will build a workflow, starting in selecting the datasource, applying datamining algorithms and visualization techniques. First of all start the GridMiner application by clicking the start button above. After loading you should see the GridMiner GUI like shown in Screenshot 1.

The GridMiner GUI is divided into three main frames, the left frame , the main frame, and the bottom frame. In the bottom frame we see wo tabs labeled with history and sescription. The description tab shows a description of the selected icon in the workflow frame or the left frame and the history tab reports all applied steps within the GridMiner application. In the left frame you will recognize three labeled tabs. Currently it shows the Workflows tab, where we can add new workflows and delete selected workflows by clicking the corresponding icons in the header of the left frame. For our demo example we create an new workflow named GridMiner Demo WF. After creaing this new workflow we recognize in the main frame a new tab labeled with the name of our just created workflow. Now we switch to the data sources tab in the left frame and select a datasource. By drag and drop we can add the selected data source to our workflow. Having the data source on our workflow tab we can easily remove it, in case it is nessesary by right mouse clicking on it and selecting the corresponding item in the contextmenu. Lets drag and drop the Weather(DT-Train) data source to our workflow frame and switch to the Data Mining tab in the left frame. There we find several data and text mining techniques, which are available as grid services within the GridMiner framework. For our demonstration example we select the Decision Trees Model. We add the Tree icon by drag and drop to our workflow frame. Then we conect the datasource icon with the Tree icon by clicking in the center of the datasource icon and pinting to the Tree icon. See screeenshot 2.

Now we have to set the Tree model settings, by double clicking the icon. In the properties window set the target attribute to play and click next and save. Now we run the workflow by clicking the play button or by right mous click on the Tree icon and selecting the corresponding item in the contextmenu. Then a new window labeled with Workflow Window appears, which we submit by clicking the stat button and then also with the OK button.Finaly we add a model visualization icon and conect it with the Tree icon. See Screenshot 3.

By double clicking on the Model visualoization icon we can see the visual output of the Tree model. Screenshot 4 shows the output of the Model visualization service.

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