University of Cumberlands Introduction to Data Mining Discussion
Question Description
Chapter6 extends the formulation of data sets with symmetric binary,categorical, and continuous attributes. There are many applications thatcontain binary and nominal attributes. Figure 6.1: Internet survey data with categorical attributesshows symmetric binary attribute such as gender, a computer at home,chat online, shop online, and privacy concerns, and nominal attributessuch as level of education and state. Also, Table 6.2: shows Internet survey data after binarizing categorical and symmetric attributes.
Search online and identify a data set with a survey information from any company or industry.
Usethe identified dataset to develop a data set like a figure 6.1 data setfor the symmetric binary attribute with different variables.
Using the dataset developed in #2, transform it into a binary category like Table 6.2 in chapter 6.
Describethe data set Table developed in #2 and #3 and explain the issues toconsider when applying association analysis to the binarized data.

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