Data Mining

Primary Task Response: Within the Discussion Board area, write 400–600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the basis for future discussions by your classmates. Be substantive and clear and use examples to reinforce your ideas.

Discussion Question

Chapter 6 extends the formulation of data sets with symmetric binary, categorical, and continuous attributes. There are many applications that contain binary and nominal attributes.Figure 6.1: Internet survey data with categorical attributes shows symmetric binary attribute such as gender, a computer at home, chat online, shop online, and privacy concerns, and nominal attributes such as level of education and state. Also, Table 6.2: shows Internet survey data after binarizing categorical and symmetric attributes.

  1. Search online and identify a data set with a survey information from any company or industry.
  2. Use the identified dataset to develop a data set like a figure 6.1 data set for the symmetric binary attribute with different variables.
  3. Using the dataset developed in #2, transform it into a binary category like Table 6.2 in chapter 6.
  4. Describe the data set Table developed in #2 and #3 and explain the issues to consider when applying association analysis to the binarized data.
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