By Dr. Matthew A North

In Data Mining for the loads, professor Matt North—a former probability analyst and database developer for—uses uncomplicated examples, transparent causes and free, robust, easy-to-use software program to educate you the fundamentals of knowledge mining recommendations which could assist you resolution a few of your hardest company questions.

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The ‘later’ would come once the survey has been developed and deployed, and data have been collected. With the data in place, the third CRISP-DM phase, Data Preparation, can begin. If you haven’t installed OpenOffice and RapidMiner yet, and you want to work along with the examples given in the rest of the book, now would be a good time to go ahead and install these applications. Remember that both are freely available for download and installation via the Internet, and the links to both applications are given in Chapter 1.

It only changes the values in the Online_Gaming attribute, which won’t affect our next operator. Use the search feature in the Operators tab to find an operator called Replace. Drag this operator into your stream. If your splines had been disconnected during the deletion of the sampling and filtering operators, as is the case in Figure 3-30, you will see that your splines are automatically reconnected when you add the Replace operator to the stream. 3) In the parameters pane, change the attribute filter type to single, then indicate Twitter as the attribute to be modified.

On the other hand, in the Online Gaming attribute, there are answers of either ‘Y’ or ‘N’, indicating that the respondent either does, or does not participate in online gaming. But what do the missing, or null values in this attribute indicate? It is unknown to us. For the purposes of data mining, there are a number of options available for handling missing data. To learn about handling missing data in RapidMiner, follow the steps below to connect to your data set and begin modifying it: 30 Chapter 3: Data Preparation 1) Launch the RapidMiner application.

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