Top 250+ Solved Data Mining and Business Intelligence MCQ Questions Answer
Q. ______ are needed to identify training data and desired results.
a. Programmers
b. Designers
c. Users
d. Administrators
Q. Over fitting occurs when a model_________.
a. Does fit in future states
b. Does not fit in future states
c. Does fit in current state
d. Does not fit in current state
Q. The problem of dimensionality curse involves___________.
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
Q. Incorrect or invalid data is known as _______.
a. Changing data
b. Noisy data
c. Outliers
d. Missing data
Q. ROI is an acronym of _______.
a. Return on Investment
b. Return on Information
c. Repetition of Information
d. Runtime of Instruction
Q. The ______of data could result in the disclosure of information that is deemed to beconfidential.
a. Authorized use
b. Unauthorized use
c. Authenticated use
d. Unauthenticated use
Q. _________data are noisy and have many missing attribute values.
a. Preprocessed
b. Cleaned
c. Real-worl
d. D Tr
Q. SQL stand for_________.
a. Standard Query Language
b. Structured Query Language
c. Standard Quick List.
d. Structured Query list
Q. Which of the following is not a data mining metric?
a. Space complexity
b. Time complexity
c. ROI
d. All of the above
Q. Reducing the number of attributes to solve the high dimensionality problem is calledas_____________.
a. Dimensionality curse
b. Dimensionality reduction
c. Cleaning
d. Over fitting
Q. 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
Q. _________are effective tools to attack the scalability problem.
a. Sampling
b. Parallelization
c. Both A & B
d. None of the above
Q. Market-basket problem was formulated by____________.
a. Agrawal et al
b. Steve et al
c. Toda et al
d. Simon et al
Q. Data mining helps in________.
a. Inventory managemen
b. Sales promotion strategies
c. Marketing strategies
d. All of the above