Data Mining (3160714) MCQs

MCQs of Data Pre-processing

Showing 21 to 29 out of 29 Questions
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21.

DMQL stands for?

(a)

Data Mining Query Language
(b)

Dataset Mining Query Language
(c)

DBMiner Query Language
(d)

Data Marts Query Language
Answer:

Option (a)

22.

Which of the following is true for Classification?

(a)

A subdivision of a set
(b)

A measure of the accuracy
(c)

The task of assigning a classification
(d)

 All of above
Answer:

Option (a)

23.

Binary attribute are

(a)

The natural environment of a certain species
(b)

This takes only two values. In general, these values will be 0 and 1 and  they can be coded as one bit
(c)

Systems that can be used without knowledge of internal operations
(d)

values that comes after mining process
Answer:

Option (b)

24.

Data set {brown, black, blue, green, red} is example of

(a)

Continuos
(b)

Ordinal
(c)

Nominal
(d)

Numeric
Answer:

Option (c)

25.

Which of the following is NOT example of ordinal attributes?

(a)

Zip codes
(b)

Ordered numbers
(c)

Movie ratings
(d)

Military ranks
Answer:

Option (a)

26.

Nominal and ordinal attributes can be collectively referred to as_________ attributes.

(a)

Perfect
(b)

Consistent
(c)

Optimized
(d)

Qualitative
Answer:

Option (d)

27.

Correlation analysis is used for

(a)

Handling missing values
(b)

Identifying redundant attributes
(c)

Handling different data formats
(d)

Eliminating noise
Answer:

Option (b)

28.

_____ is a key concept which involves techniques for finding a compact description of a data set.

(a)

Summarization
(b)

Visuliazation
(c)

Mining
(d)

Cleaning
Answer:

Option (a)

29.

Data Compression is a reduction in the number of _____ needed to represent data.

(a)

Bytes
(b)

Bits
(c)

Units
(d)

Bandwidth
Answer:

Option (b)

Showing 21 to 29 out of 29 Questions
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