Top 350+ Solved Social Media Analytics (SMA) MCQ Questions Answer
Q. Synonym for data mining is
a. Data Warehouse
b. Knowledge discovery in database
c. Business intelligence
d. OLAP
Q. Which of the following is not a data mining task?
a. Feature Subset Detection
b. Association Rule Discovery
c. Regression
d. Sequential Pattern Discovery
Q. Which of the following issue is considered before investing in Data Mining?
a. Functionality
b. Vendor consideration
c. Compatibility
d. All of the above
Q. Data independence means
a. Data is defined separately and not included in programs
b. Programs are not dependent on the physical attributes of data
c. Programs are not dependent on the logical attributes of data
d. Both (B) and (C)
Q. A definition or a concept is if it classifies any examples as coming within the concept
a. Complete
b. Consistent
c. Constant
d. None of these
Q. Which of the following activities is a data mining task?
a. Monitoring the heart rate of a patient for abnormalities
b. Extracting the frequencies of a sound wave
c. Predicting the outcomes of tossing a (fair) pair of dice
d. Dividing the customers of a company according to their profitability
Q. Data Visualization in mining cannot be done using
a. Photos
b. Graphs
c. Charts
d. Information Graphics
Q. To detect fraudulent usage of credit cards, the following data mining task should be used
a. Outlier analysis
b. prediction
c. association analysis
d. feature selection
Q. A definition or a concept is if it classifies any examples as coming within the concept
a. Complete
b. Consistent
Q. Classification accuracy is
a. Subdivision of a set of examples into a number of classes
b. Measure of the accuracy, of the classification of a concept that is given by a certain theory
Q. Cluster is
a. Group of similar objects that differ significantly from other objects
b. Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
Q. Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population (http://www.brixtonhealth.com/storksBabies.pdf), it is an example of
a. Classification
b. Regression
c. Clustering
d. Structural equation modeling
Q. Bayesian classifiers is
a. class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
b. Any mechanism employed by a learning system to constrain the search space of a hypothesis
c. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation
d. None of these
Q. Background knowledge referred to
a. Additional acquaintance used by a learning algorithm to facilitate the learning process
b. A neural network that makes use of a hidden layer
c. It is a form of automatic learning
d. None of these
Q. Which of the following is finally produced by Hierarchical Clustering?
a. Final estimate of cluster centroids
b. tree showing how close things are to each other
c. assignment of each point to clusters
d. all of the mentioned