Top 350+ Solved Social Media Analytics (SMA) MCQ Questions Answer

From 16 to 30 of 304

Q. Which is not classification algorithm?

a. Naive Bayes

b. TFIDF

c. Probabilistic Indexing

d. Indexbased

  • d. Indexbased

Q. Data mining is also known as___________

a. FDD

b. KDD

c. MDD

d. NDD

  • b. KDD

Q. Clustering is a common____________ data mining technique

a. Supervised

b. Unsupervised

c. both A & B

d. None

  • b. Unsupervised

Q. ___________ is an essential process where intelligent methods are applied to extract data patterns.

a. Data warehousing

b. Data mining

c. Text mining

d. Data selection

  • b. Data mining

Q. Data ................... is the process of finding a model that describes and distinguishes data classes or concepts.

a. Characterization

b. Mining

c. clustering

d. Classification

  • d. Classification

Q. _____________ is the application of data mining techniques to discover patterns from the Web

a. Text Mining

b. Multimedia Mining

c. Web Mining

d. Link Mining

  • b. Multimedia Mining

Q. _______________refers to the process of deriving high-quality information from text.

a. Text Mining.

b. Image Mining

c. Database Mining

d. Multimedia Mining.

  • a. Text Mining.

Q. What are the different measures of centrality?

a. Degree centrality

b. Closeness centrality

c. Eigen vector centrality

d. All of the above

  • d. All of the above

Q. Degree centrality is defined as

a. The ratio of number of neighbors of the vertex with total number of possible neighbors

b. Central nodes of all the given nodes in networks

c. Total number of nodes in the given network

d. None of the above

  • a. The ratio of number of neighbors of the vertex with total number of possible neighbors

Q. Posting a photo is an example of __________behaviour.

a. User-User

b. User-Community

c. User-Entity

d. none

  • c. User-Entity

Q. Decision tree learning is a __________algorithm

a. classification

b. clustering

c. feature selection

d. mining

  • a. classification

Q. To determine individuals joining ________and______algorithms are used.

a. classification, feature selection

b. clustering, feature selection

c. classification, clustering

d. mining, clustering

  • a. classification, feature selection

Q. Participating in group discussions is an example of __________behaviour.

a. User-User

b. User-Community

c. User-Entity

d. none

  • b. User-Community

Q. Granger Causality considers __________regression model

a. non linear

b. progressive

c. linear

d. logarithmic

  • c. linear

Q. Threshold and cascade models are used in ___________behaviour modelling,

a. Collective

b. individual

c. group

d. none

  • b. individual
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