Intelligent Data Mining Assessment Test

10 Questions | Total Attempts: 244

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Intelligent Data Mining Assessment Test

Data mining is the process and practice of examining and sorting through large pre-existing data sets or databases in order to identify patterns and establish solutions to problems through data analysis, generate new information, and predict future trends.


Questions and Answers
  • 1. 
    How is data stored in MOLAP? 
    • A. 

      Relational databases

    • B. 

      Multidimensional databases

    • C. 

      Single Dimensional databases

    • D. 

      Distributed databases

  • 2. 
    Which of the following is described as extraction of data from different sources? 
    • A. 

      Data merging

    • B. 

      Data bagging

    • C. 

      Data mining

    • D. 

      Data dredging

  • 3. 
    Deleting of data from data warehouse is called__
    • A. 

      Data purging

    • B. 

      Dara deletion

    • C. 

      Data merging

    • D. 

      Data booting

  • 4. 
    Data cubes store data in___ version 
    • A. 

      Numerical

    • B. 

      Compressed

    • C. 

      Summarized

    • D. 

      Alphabetical

  • 5. 
    Which of the following is an example of discreet data? 
    • A. 

      Gender

    • B. 

      Light

    • C. 

      Height

    • D. 

      Opinion

  • 6. 
    Which of these help algorithm in pattern matching? 
    • A. 

      MODEL

    • B. 

      Decision tree

    • C. 

      MOLAP

    • D. 

      OLAP

  • 7. 
    Which of these can be used to predict continuous values of data? 
    • A. 

      Leaf

    • B. 

      Decision tree

    • C. 

      Time series

    • D. 

      Node

  • 8. 
    Naive Bayes Algorithm is used to 
    • A. 

      Change syntaxes

    • B. 

      Create decision trees

    • C. 

      Generate mining models

    • D. 

      Link two nodes

  • 9. 
    Which of the following is used to group sets of data with similar characteristics? 
    • A. 

      Data merging

    • B. 

      Cluster

    • C. 

      Database

    • D. 

      Decision tree

  • 10. 
    Which of these algorithm is used for recommendation engine based on market analysis? 
    • A. 

      Sequence clustering algorithm

    • B. 

      Association algorithm

    • C. 

      Time series algorithm

    • D. 

      Naive Bayes Algorithm

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