Data Mining Trivia Quiz

51 Questions | Total Attempts: 11695

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Data Mining Trivia Quiz

Living in a world run and managed using soft technology, data has become an essential part of human existence. The quantity of data generated and stored everyday makes it had to retrieve when needed. How much do you know about this subject? Take up the quiz below and see how good you are. All the best!


Questions and Answers
  • 1. 
    What is Data?
  • 2. 
    An _____ is a property or characteristic of an object. Example: eye color of a person, temperature, and etc.
  • 3. 
    A collection of attributes describe an object?
    • A. 

      True

    • B. 

      False

  • 4. 
    _______ values are numbers or symbols assigned to an attribute
  • 5. 
    Same attribute can be mapped to different attribute values?
    • A. 

      True

    • B. 

      False

  • 6. 
    Different attributes cannot be mapped to the same set of values?
    • A. 

      True

    • B. 

      False

  • 7. 
    What are the different types of attributes?
    • A. 

      Nominal

    • B. 

      Ordinal

    • C. 

      Spacial

    • D. 

      Temperatures

    • E. 

      Interval

    • F. 

      Cordinality

    • G. 

      Ratio

  • 8. 
    Examples of Nominal can be:
    • A. 

      ID Numbers, eye color, zip codes

    • B. 

      Rankings, taste of potato chips, grades, height

    • C. 

      Calendar dates, temperatures in celsius or fahrenheit, phone numbers

    • D. 

      Temperature in Kelvin, length, time, counts

  • 9. 
    Examples of Ordinal can be:
    • A. 

      ID Numbers, eye color, zip codes

    • B. 

      Rankings, taste of potato chips, grades, height

    • C. 

      Calendar dates, temperatures in celsius or fahrenheit, phone numbers

    • D. 

      Temperature in Kelvin, length, time, counts

  • 10. 
    Examples of Interval can be:
    • A. 

      ID Numbers, eye color, zip codes

    • B. 

      Rankings, taste of potato chips, grades, height

    • C. 

      Calendar dates, temperatures in celsius or fahrenheit

    • D. 

      Temperature in Kelvin, length, time, counts

  • 11. 
    Examples of Ratio can be:
    • A. 

      ID Numbers, eye color, zip codes

    • B. 

      Rankings, taste of potato chips, grades, height

    • C. 

      Calendar dates, temperatures in celsius or fahrenheit

    • D. 

      Temperature in Kelvin, length, time, counts

  • 12. 
    The type of a Nominal attribute depends on which of the following properties:
    • A. 

      Distinctness & order

    • B. 

      Distinctness, order & addition

    • C. 

      Distinctness

    • D. 

      All 4 properties

  • 13. 
    The type of an Ordinal attribute depends on which of the following properties:
    • A. 

      Distinctness & order

    • B. 

      Distinctness, order & addition

    • C. 

      Distinctness

    • D. 

      All 4 properties

  • 14. 
    The type of an Interval attribute depends on which of the following properties:
    • A. 

      Distinctness & order

    • B. 

      Distinctness, order & addition

    • C. 

      Distinctness

    • D. 

      All 4 properties

  • 15. 
    The type of a Ratio attribute depends on which of the following properties:
    • A. 

      Distinctness & order

    • B. 

      Distinctness, order & addition

    • C. 

      Distinctness

    • D. 

      All 4 properties

  • 16. 
    _______ Attribute has only a finite or countably infinite set of values, often represented as integer variables, Example: zip codes, counts, or the set of words in a collection of documents
  • 17. 
    _________ Attribute has real numbers as attribute values. Practically, real values can only be measured and represented using a finite number of digits. Is typically represented as floating-point variable.
  • 18. 
    Types of data sets are: 
    • A. 

      Graph

    • B. 

      Categorial

    • C. 

      Gyroscope

    • D. 

      Graph

    • E. 

      Counter

    • F. 

      Ordered

  • 19. 
    Record data set consists of: 
    • A. 

      World Wide Web, Molecular Structures

    • B. 

      Spacial Data, Temporal Data, Sequential Data, Genetic Sequence Data

    • C. 

      Generic Data, Inferential Data, Continuous Data

    • D. 

      Data Matrix, Document Data, Transaction Data

  • 20. 
    Graph data set consists of: 
    • A. 

      World Wide Web, Molecular Structures

    • B. 

      Spacial Data, Temporal Data, Sequential Data, Genetic Sequence Data

    • C. 

      Generic Data, Inferential Data, Continuous Data

    • D. 

      Data Matrix, Document Data, Transaction Data

  • 21. 
    Ordered data set consists of: 
    • A. 

      World Wide Web, Molecular Structures

    • B. 

      Spacial Data, Temporal Data, Sequential Data, Genetic Sequence Data

    • C. 

      Generic Data, Inferential Data, Continuous Data

    • D. 

      Data Matrix, Document Data, Transaction Data

  • 22. 
    Important Characteristics of Structured Data are:
    • A. 

      Generality

    • B. 

      Dimensionality

    • C. 

      Resolution

    • D. 

      Spacial

    • E. 

      Sparsity

  • 23. 
    _________ Data is a data that consists of a collection of records, each of which consists of a fixed set of attributes
  • 24. 
    Data Matrix is:
    • A. 

      If data objects have the same fixed set of numeric attributes, then the data objects can be thought of as points in a multi-dimensional space, where each dimension represents a distinct attribute

    • B. 

      Such data set can be represented by an m by n matrix, where there are m rows, one for each object, and n columns, one for each attribute

    • C. 

      Neither A or B

    • D. 

      Both A and B

  • 25. 
    Each document becomes a ___________ vector
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