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' (A)</p> Signup and view all the answers

What characterizes irrelevant features for numerical data?

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

Can an algorithm handle redundant features effectively?

<p>By removing irrelevant or redundant features (C)</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 (C)</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 (B)</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 (D)</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 (C)</p> Signup and view all the answers

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

<p>Data collection (B)</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 (D)</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 (C)</p> Signup and view all the answers

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

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

What is a feature in data mining?

<p>A collection of attributes that describe an object (B)</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 (D)</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 (C)</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 (D)</p> Signup and view all the answers

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