Designing Targeted Product Recommendations System Quiz
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Questions and Answers

Which method is used to represent text data by a vector of word frequency?

  • Method 3: By a vector of word frequency (correct)
  • Method 4: By a vector of letter frequency
  • Method 1: By a list of words
  • Method 2: By the set of words
  • What are considered irrelevant features for text data according to the text?

  • Words that are easy to pronounce
  • Words that appear frequently (correct)
  • Words that carry emotional weight
  • Words that appear rarely
  • In data mining, what does 'feature pruning' refer to?

  • Doubling the number of existing features
  • Removing irrelevant features from the dataset (correct)
  • Adding more features to the dataset
  • Selecting only the most complex features
  • How can categorical data be represented according to the text?

    <p>(awesome=1, burger=1, terrible=0) for 'awesome'</p> Signup and view all the answers

    What characterizes irrelevant features for numerical data?

    <p>Low variance features</p> Signup and view all the answers

    Can an algorithm handle redundant features effectively?

    <p>By removing irrelevant or redundant features</p> Signup and view all the answers

    What is the purpose of feature extraction in data mining?

    <p>Convert data into a format that is friendly to data mining algorithms</p> Signup and view all the answers

    Which phase of Data Mining involves cleaning missing and erroneous parts of the data?

    <p>Data preprocessing phase</p> Signup and view all the answers

    What does Feature selection and transformation in Data Mining primarily aim to do?

    <p>Remove irrelevant features and transform existing features</p> Signup and view all the answers

    In the context of Data Mining, what is the role of feature engineering?

    <p>Converting data into a format suitable for algorithms</p> Signup and view all the answers

    What should one focus on to achieve the Learning Objectives in Data Mining Process?

    <p>Data collection</p> Signup and view all the answers

    Which phase of Data Mining involves designing and applying analytical methods to preprocessed data?

    <p>Analytical processing phase</p> Signup and view all the answers

    What is the primary purpose of feature engineering in data mining?

    <p>To extract relevant characteristics from data</p> Signup and view all the answers

    In the context of data mining, what do objects refer to?

    <p>Data points or instances</p> Signup and view all the answers

    What is a feature in data mining?

    <p>A collection of attributes that describe an object</p> Signup and view all the answers

    Which phase of the data mining process involves converting raw data into a format suitable for algorithms?

    <p>Data preprocessing phase</p> Signup and view all the answers

    What is one of the key challenges in feature selection and transformation in data mining?

    <p>Selecting features that are less relevant to the problem</p> Signup and view all the answers

    How does good feature engineering contribute to predictive modeling in data mining?

    <p>Enables learning rules that can be used on unseen data</p> Signup and view all the answers

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