Database Reference
In-Depth Information
Professional:
A yes/no column indicating whether or not the respondent is currently a
member of a professional organization with local chapter meetings, such as a chapter of a
law or medical society, a small business owner's group, etc.
Religious:
A yes/no column indicating whether or not the respondent is currently a
member of a church in the community.
Support_Group:
A yes/no column indicating whether or not the respondent is currently
a member of a support-oriented community organization, such as Alcoholics Anonymous,
an anger management group, etc.
In order to preserve a level of personal privacy, individual respondents' names were not collected
through the survey, and no respondent was asked to give personally identifiable information when
responding.
DATA PREPARATION
A CSV data set for this chapter's exercise is available for download at the topic's companion web
site
(
https://sites.google.com/site/dataminingforthemasses/
)
. If you wish to follow along with
the exercise, go ahead and download the Chapter05DataSet.csv file now and save it into your
RapidMiner data folder. Then, complete the following steps to prepare the data set for association
rule mining:
1)
Import the Chapter 5 CSV data set into your RapidMiner data repository. Save it with the
name Chapter5. If you need a refresher on how to bring this data set into your
RapidMiner repository, refer to steps 7 through 14 of the Hands On Exercise in Chapter 3.
The steps will be the same, with the exception of which file you select to import. Import
all attributes, and accept the default data types. This is the same process as was done in
Chapter 4, so hopefully by now, you are getting comfortable with the steps to import data
into RapidMiner.
2)
Drag your Chapter5 data set into a new process window in RapidMiner, and run the model
in order to inspect the data. When running the model, if prompted, save the process as
Chapter5_Process, as shown in Figure 5-1.
