Deck 1: Media, Analytics, and Data Mining Techniques

Question 1

Data that has been generated with no connection to the Internet, and then registered into a system, which may be accessed via the Internet later called

A)offline originated data
B)online originated data
C)both a & b
D)none of the above

Answer 1

offline originated data

Question 2

What is one of the big differences between traditional media and social media?

A)participatory production.
B)social media reaches only a few people at a time.
C)the management structure of the companies.
D)traditional media offers no way for audiences to communicate with media producers.

Answer 2

participatory production.

Question 3

Estimated metrics include …………. which provide the number of times a user has potentially seen a certain piece of content or advertising.

A)views
B)impressions
C)reach
D)all of the above

Answer 3

all of the above

Question 4

____________is a very fragile and unstable way of gathering data, because when anything changes on the web site, the source code is changed,

A)data mining
B)web crawling/scraping
C)both a & b
D)none of the above

Question 5

It allows a programmer to see a clear structure of the information that is stored in the application Called

A)api
B)program
C)data
D)none of the above

Question 6

In terms of Facebook's ranking algorithm, what does "weight" refer to?

A)the amount of comments, likes, etc. a content post receives
B)how often a profile produces content
C)how many highly ranked content posts a profile has in a given week
D)how many followers/friends a company has

Question 7

What is the name of Facebook's Analytics tool?

A)facebook analytics
B)edge rank
C)page rank
D)insights

Question 8

What is CTR?

A)cost through rate
B)click table rate
C)click through rate
D)clicks through rate

Question 9

Which of the following function is used for k-means clustering?

A)k-means
B)k-mean
C)heatmap
D)None of the mentioned

Question 10

Hierarchical clustering should be primarily used for exploration.

Question 11

Following are applications of text mining

A)Classification
B)clustering
C)keyword search
D)All Above

Question 12

In ___________problems nodes in Social n/w associated with labels

A)keyword search
B)clustering
C)Classification
D)mining

Question 13

Most well-known keyword search algorithm for relational data is _______

A)DISCOVER
B)DBX-plorer
C)None of the above
D)Both A & B

Question 14

_____________applies authority-based ranking to keyword search on labeled graphs,

A)ObjectRank Algorithm
B)Indexbased map
C)nodekeyword map
D)DISCOVER

Question 15

Which is not classification algorithm?

A)Naive Bayes
B)TFIDF
C)Probabilistic Indexing
D)Indexbased

Question 16

Data mining is also known as___________

A)FDD
B)KDD
C)MDD
D)NDD

Question 17

Clustering is a common____________ data mining technique

A)Supervised
B)Unsupervised
C)both A & B
D)none of the above

Question 18

___________ 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

Question 19

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

A)Characterization
B)Mining
C)clustering
D)Classification

Question 20

_____________ 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

Question 21

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

A)Text Mining.
B)Image Mining
C)Database Mining
D)Multimedia Mining.

Question 22

What are the different measures of centrality?

A)Degree centrality
B)Closeness centrality
C)Eigen vector centrality
D)All of the above

Question 23

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