Download Data Mining for the Masses by Dr. Matthew A North PDF

By Dr. Matthew A North

In Data Mining for the loads, professor Matt North—a former threat analyst and database developer for eBay.com—uses uncomplicated examples, transparent factors and free, robust, easy-to-use software program to coach you the fundamentals of knowledge mining innovations that may assist you solution a few of your hardest company questions.

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When you have your parameter set, click the play button. This will run your process and switch you to results perspective once again. Your results should look like Figure 3-25. 45 Data Mining for the Masses Figure 3-25. Results of changing missing data. 21) You can see now that the Online_Gaming attribute has been moved to the top of our list, and that there are zero missing values. Click on the Data View radio button, above and to the left hand side of the attribute list to see your data in a spreadsheet-type view.

Organizational data sets can help to protect peoples’ privacy, while still proving useful to data miners watching for trends in a given population. 19 Data Mining for the Masses Another type of data often overlooked within organizations is something called a data mart. A data mart is an organizational data store, similar to a data warehouse, but often created in conjunction with business units’ needs in mind, such as Marketing or Customer Service, for reporting and management purposes. Data marts are usually intentionally created by an organization to be a type of one-stop shop for employees throughout the organization to find data they might be looking for.

Figure 3-20. Adding a data set to a process in RapidMiner. 16) Each rectangle in a process in RapidMiner is an operator. The Retrieve operator simply gets a data set and makes it available for use. The small half-circles on the sides of the operator, and of the Main Process window, are called ports. In Figure 3-20, an output (out) port from our data set’s Retrieve operator is connected to a result set (res) port via a spline. The splines, combined with the operators connected by them, constitute a data mining stream.

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