Data that are not of interest to the data mining task is called as
A. missing data.
B. changing data.
C. irrelevant data.
D. noisy data.
ANSWER: C
Data that are not of interest to the data mining task is called as Read More »
A. missing data.
B. changing data.
C. irrelevant data.
D. noisy data.
ANSWER: C
Data that are not of interest to the data mining task is called as Read More »
A. dimensionality curse.
B. dimensionality reduction.
C. cleaning.
D. Overfitting.
ANSWER: B
Reducing the number of attributes to solve the high dimensionality problem is called as Read More »
A. Space complexity.
B. Time complexity.
C. ROI.
D. All of the above.
ANSWER: D
Which of the following is not a data mining metric. Read More »
A. Standard Query Language.
B. Structured Query Language.
C. Standard Quick List.
D. Structured Query list.
ANSWER: B
A. 1950’s.
B. 1960’s
C. 1970’s
D. 1980’s.
ANSWER: C
The rise of DBMS occurred in early. Read More »
A. Preprocessed.
B. Cleaned.
C. Real-world.
D. Transformed.
ANSWER: C
________ data are noisy and have many missing attribute values. Read More »
A. authorized use.
B. unauthorized use.
C. authenticated use
D. unauthenticated use.
ANSWER: B
A. Return on Investment.
B. Return on Information.
C. Repetition of Information.
D. Runtime of Instruction
ANSWER: A
ROI is an acronym of Read More »
A. changing data.
B. noisy data.
C. outliers.
D. missing data.
ANSWER: B
Incorrect or invalid data is known as Read More »
A. the use of some attributes may interfere with the correct completion of a data mining task.
B. the use of some attributes may simply increase the overall complexity.
C. some may decrease the efficiency of the algorithm.
D. All of the above.
ANSWER: D
The problem of dimensionality curse involves Read More »