By SAS Publishing
SAS firm Miner 5.3 is the SAS facts mining resolution that addresses the whole info mining technique utilizing an intuitive Java point-and-click interface. This advisor introduces you to the middle performance of SAS firm Miner and indicates you the way to accomplish simple information mining projects. you are going to easy methods to use the graphical person interface (GUI) instruments to create and deal with method circulation diagrams and tasks and to export mining effects for reporting and integration with different SAS software program. the knowledge mining projects you'll examine contain sampling, exploring, enhancing, modeling, and assessing information in an effort to create and refine predictive versions. Getting began with company Miner 5.3 presents step by step examples that create an entire technique move diagram, together with picture effects. This identify can be on hand on-line and in hardcopy layout. This identify is meant for statisticians, quantitative analysts, and enterprise technologists who are looking to discover ways to use the information mining functions of SAS firm Miner.
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Extra info for Getting Started with SAS Enterprise Miner 5.3
3 Click Next to open the Data Source Attributes window. In this window, you can specify a name, role, and segment for your data source. Setting Up Your Project 4 Deﬁne Prior Probabilities and a Proﬁt Matrix 4 Click Finish to add the donor table to the Data Sources folder of the Project Navigator. 41 42 Optional Steps 4 Chapter 2 Optional Steps 3 The data source can be used in other diagrams. Expand the Data Sources folder. Select the DONOR_RAW_DATA data source and notice that the Property panel now shows properties for this data source.
The Results window opens. The Chi-Square plot highlights inputs that are associated with the target. Many of the binned continuous inputs have the largest Cramer’s V values. The Pearson’s correlation coefficients are displayed if the target is a continuous variable. Note: An alternate way to view results is to select the Results icon from the Toolbar Shortcut Buttons. 4 Working with Nodes That Sample, Explore, and Modify 4 Create Exploratory Plots 51 7 Maximize the Output window. The Output window provides distribution and summary statistics for the class and interval inputs, including summaries that are relative to the target.
The Pearson’s correlation coefficients are displayed if the target is a continuous variable. Note: An alternate way to view results is to select the Results icon from the Toolbar Shortcut Buttons. 4 Working with Nodes That Sample, Explore, and Modify 4 Create Exploratory Plots 51 7 Maximize the Output window. The Output window provides distribution and summary statistics for the class and interval inputs, including summaries that are relative to the target. 8 Scroll down to the Interval Variables Summary Statistics section.