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Click the Cluster Discrimination tab to display this view. Use the Cluster Discrimination view to find the values of attributes that characterize each cluster. Compare each cluster to its own complement. This way, you can easily notice characteristics of each cluster. For example, compare Cluster 1 (selected by default in the left drop-down list on the top of the cluster discrimination graph) and Cluster 2 (you select this manually from the right drop-down list). You should see that if the number of children at home is zero, this favors Cluster 1, and if the number of children at home is between 1 and 5, this favors Cluster 2. After you see what characterizes each cluster, click the Cluster Diagram tab and rename each cluster by right-clicking it and then selecting Rename Cluster. Enter a name for the cluster, and then click OK. For example, you could type no children at home as the business name for Cluster 1, many children as the business name for Cluster 2, no children as the business name for Cluster 3, and europeans as the business name for Cluster 4. Open the TK448 Ch09 Association structure. Click the Mining Model Viewer tab, and then click the Dependency Network tab. You should immediately see many more associations than you saw before you refined the parameters. Open the TK448 Ch09 Forecasting structure. In this model, you should not see significant differences from what you saw before you refined the PERIODICITY_HINT parameter. That is because you do not have enough time points in the past for the algorithm to detect periodicity. As its names suggests, this parameter really is just a hint.

Fast forward 10 years and the buzz was once again about online applications: RIAs and cloud computing. Yet Ajax and HTML were struggling to provide the kind of refined UI many now wanted, and Flash s strengths lay more in animation than solid functional GUIs and data manipulation. Could Java be given a second chance Java had proved itself in the enterprise space, amassing many followers in the software community and a vast archive of third-party libraries. Yet Java still had one major handicap on the desktop it remained a tool for cola-swigging, black-T-shirt-wearing code junkies, not trendy cappuccino-sipping, goatee-stroking artists. If Java was to be the answer to the RIA dilemma, it needed to be more Leonardo da Vinci and less Bill Gates (figure 1.5). In 2005 Sun Microsystems acquired SeeBeyond Technology Corporation, and in the process it picked up a talented software engineer by the name of Chris Oliver. Oliver s experimental F3 (Form Follows Function) programming language sought to make GUI programming easier by designing the syntax around the specific needs of UI programming. As they pondered how best to exploit the emerging RIA market, the folks at Sun could surely not have failed to note the potential of combining the existing Java platform with Oliver s new graphics power tool. So in 2007, at the JavaOne Conference (the community s most important annual gathering), F3 was given center stage as Java s beachhead into the new RIA market. And as if to demonstrate its importance, F3 was blessed with a sexy new name: JavaFX!

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Open the TK448 Ch09 Cube Clustering structure, and then click the Mining Models tab. Right-click the TK448 Ch09 Cube Clustering model, and then select Create A Data Mining Dimension. Select the Create Cube check box. Rename the dimension to customerclusteringDim and the cube to customerclusteringcube, and then click OK. Save, deploy, and process the project. After the deployment and processing are complete, use the Browser tab in the Cube Designer to browse the new cube. In Solution Explorer, double-click the CustomerClusteringCube cube. Click the Browser tab. Drag the Bike Buyer measure to the browser, and then drag the CustomerClusteringDim dimension to the rows area of the browser.

Figure 1.5 The StudioMOTO demo, one of the original JavaFX examples, shows off a glossy UI with animation, movement, and rotating elements all responding to the user s interaction.

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The primary interface for setting control properties is the Properties window, which exposes the properties of a form, component, or control that can be set at design time. You can set property values for most properties by selecting the property and typing a new value for the property into the Properties window. For some properties, such as the Dock and Anchor properties, the Properties window provides specialized graphical interfaces that assist in setting the property value. The Properties window is shown in Figure 2-7.

You should see the sum of bike buyers over the four clusters you created in this practice. If you renamed the clusters, you should see the business names of the clusters.

Figure 2-7

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