Data Reduction Techniques Quiz
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Questions and Answers

Which of the following is the main purpose of data normalization?

  • To reduce the range of values in each numerically valued variable to a standard range (correct)
  • To convert numeric variables into discrete representations
  • To derive new and more informative variables from the existing ones
  • To remove erroneous values from the data
  • What is the primary purpose of discretizing or aggregating data?

  • To convert numeric variables into discrete representations or reduce the number of values in categorical variables (correct)
  • To normalize the data to a standard range
  • To remove erroneous values from the data
  • To construct new attributes by deriving new variables from the existing ones
  • Which of the following is a key step in the data cleaning process?

  • Constructing new attributes by deriving new variables from the existing ones
  • Normalizing the data to a standard range
  • Converting numeric variables into discrete representations using range- or frequency-based binning techniques
  • Identifying and eliminating erroneous values in the data, such as odd values, inconsistent class labels, or odd distributions (correct)
  • What is the primary purpose of constructing new attributes by deriving new variables from the existing ones?

    <p>To create new and more informative variables that can potentially improve the performance of data mining models</p> Signup and view all the answers

    Which of the following is a common technique used for data normalization?

    <p>Reducing the range of values in each numerically valued variable to a standard range, such as 0 to 1 or -1 to +1</p> Signup and view all the answers

    Which of the following is a key data transformation technique used to reduce the number of values in categorical variables?

    <p>Applying proper concept hierarchies to aggregate the values in categorical variables</p> Signup and view all the answers

    What is the primary purpose of log transformations in data preprocessing?

    <p>To construct new attributes by deriving new variables from the existing ones using a wide range of mathematical functions, including log transformations</p> Signup and view all the answers

    Which of the following is a common method for discretizing numeric variables?

    <p>Applying range-based or frequency-based binning techniques to convert numeric variables into discrete representations</p> Signup and view all the answers

    What is the primary purpose of principal component analysis (PCA) in data preprocessing?

    <p>To reduce the dimensionality of the dataset by transforming the original variables into a smaller set of uncorrelated variables (principal components) that capture the majority of the variance in the data</p> Signup and view all the answers

    Which of the following is a key step in the random sampling process for data preprocessing?

    <p>Selecting a subset of the data that is representative of the overall population, ensuring that the sample is random and unbiased</p> Signup and view all the answers

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