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Association Rule

Quiz by Roseline Vaseehar

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15 questions
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  • Q1
    Frequency of occurrence of an itemset
    All of the above
    Confidence
    Support Count
    Support
    20s
  • Q2
    Fraction of transactions that contain an itemset
    Confidence
    None of the Above
    Support Count
    Support
    20s
  • Q3
    The value that says that transactions in D that support X also support Y is called
    Support Count
    All of the above
    Support
    Confidence
    20s
  • Q4
    All set of items whose support is greater than the user-specified minimum support are called
    Lattice
    Border Set
    Frequent Set
    Maximal Frequent Set
    20s
  • Q5
    The first phase of A-Priori algorithm is
    Itemset Generation
    Partitioning
    Pruning
    Candidate Generation
    20s
  • Q6
    The Second phase of A-Priori algorithm is
    Partitioning
    Itemset Generation
    Candidate Generation
    Pruning
    20s
  • Q7
    The human brain consists of a network of
    Muscles
    Neurons
    Cells
    Tissues
    20s
  • Q8
    In a feed- forward networks, the connections between layers are
    Uni-directional
    Multi-directional
    Directional
    Bi-directional
    20s
  • Q9
    Which of the following data mining task is known as Market Basket Analysis
    Outlier Analysis
    Association Analysis
    Classification
    Regression
    20s
  • Q10
    In frequent itemset generation, for d items there are ____ possible candidate itemsets.
    n*n
    2 Power d
    d*d
    n
    20s
  • Q11
    Pruning techniques is used to reduce the number of
    Candidates
    Itemset
    Comparisons
    Transactions
    20s
  • Q12
    Posteriori probability is represented as
    X
    P(X)
    P(H)
    P(X|H)
    20s
  • Q13
    Statistical analysis on multiple rules is
    CBA
    RCBT
    CMAR
    CPAR
    20s
  • Q14
    CPAR accuracy is similar to
    RCBT
    CMAR
    CBA
    CAB
    20s
  • Q15
    CBA is
    Classification By Association
    Clustering Based Association
    Classification Based Association
    Clustering By Association
    20s

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