Question 1

Data independence means

Accepted Answer

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)  
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)  D

Question 2

Which of the following combination is incorrect?

Accepted Answer

A) Continuous - euclidean distance 
B) Continuous - correlation similarity 
C) Binary - manhattan distance 
D) None of the mentioned 
A) Continuous - euclidean distance 
B) Continuous - correlation similarity 
C) Binary - manhattan distance 
D) None of the mentioned D

Question 3

Social networks are great distribution channel for ___________

Accepted Answer

A) Customer feedback 
B) Viral Content 
C) exclusive coupons 
D) marketing messages 
A) Customer feedback 
B) Viral Content 
C) exclusive coupons 
D) marketing messages D

Question 4

Which statement is not TRUE regarding a data mining task?

Accepted Answer

A) Clustering is a descriptive data mining task 
B) Classification is a predictive data mining task 
C) Regression is a descriptive data mining task 
D) Deviation detection is a predictive data mining task 
A) Clustering is a descriptive data mining task 
B) Classification is a predictive data mining task 
C) Regression is a descriptive data mining task 
D) Deviation detection is a predictive data mining task

Question 5

Which of the following activities is a data mining task?

Accepted Answer

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 
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

Question 6

Which of the following is finally produced by Hierarchical Clustering?

Accepted Answer

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 
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

Question 7

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

Accepted Answer

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

Question 8

N-grams are defined as the combination of N keywords together. How many bi-grams can be generated from given sentence?

Accepted Answer

A) 7 
B) 8 
C) 9 
D) 10 
A) 7 
B) 8 
C) 9 
D) 10

Question 9

Background knowledge referred to

Accepted Answer

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 
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

Question 10

K-means is not deterministic and it also consists of number of iterations.

Accepted Answer

A) True 
 B)False

Question 11

Cluster is

Accepted Answer

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 
C) Symbolic representation of facts or ideas from which information can potentially be extracted 
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 
C) Symbolic representation of facts or ideas from which information can potentially be extracted

Question 12

Two increasingly important ethical aspects of social media are

Accepted Answer

A) Ratings and traffic. 
B) Transparency and privacy. 
C) Identity and honesty. 
D) Virtue and virality 
A) Ratings and traffic. 
B) Transparency and privacy. 
C) Identity and honesty. 
D) Virtue and virality

Question 13

Synonym for data mining is

Accepted Answer

A) Data Warehouse 
B) Knowledge discovery in database 
C) Business intelligence 
D) OLAP 
A) Data Warehouse 
B) Knowledge discovery in database 
C) Business intelligence 
D) OLAP

Question 14

Which of the following issue is considered before investing in Data Mining?

Accepted Answer

A) Functionality 
B) Vendor consideration 
C) Compatibility 
D) All of the above 
A) Functionality 
B) Vendor consideration 
C) Compatibility 
D) All of the above

Question 15

A definition or a concept is if it classifies any examples as coming within the concept

Accepted Answer

A) Complete 
B) Consistent 
C) Constant 
D) None of these 
A) Complete 
B) Consistent 
C) Constant 
D) None of these

Question 16

To detect fraudulent usage of credit cards, the following data mining task should be used

Accepted Answer

A) Outlier analysis 
B) prediction 
C) association analysis 
D) feature selection 
A) Outlier analysis 
B) prediction 
C) association analysis 
D) feature selection

Question 17

Data Visualization in mining cannot be done using

Accepted Answer

A) Photos 
B) Graphs 
C) Charts 
D) Information Graphics 
A) Photos 
B) Graphs 
C) Charts 
D) Information Graphics

Question 18

Classification accuracy is

Accepted Answer

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 
C) The task of assigning a classification to a set of examples 
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 
C) The task of assigning a classification to a set of examples

Question 19

Which of the following ways can be used to represent a graph?

Accepted Answer

A) Adjacency List and Adjacency Matrix 
B) Incidence Matrix 
C) Adjacency List, Adjacency Matrix as well as Incidence Matrix 
D) No way to represent 
A) Adjacency List and Adjacency Matrix 
B) Incidence Matrix 
C) Adjacency List, Adjacency Matrix as well as Incidence Matrix 
D) No way to represent

Question 20

A definition or a concept is if it classifies any examples as coming within the concept

Accepted Answer

A) Complete 
B) Consistent 
C) Constant 
A) Complete 
B) Consistent 
C) Constant

Data independence means

Which of the following combination is incorrect?

Social networks are great distribution channel for ___________

Which statement is not TRUE regarding a data mining task?

Which of the following activities is a data mining task?

Which of the following is finally produced by Hierarchical Clustering?

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

N-grams are defined as the combination of N keywords together. How many bi-grams can be generated from given sentence?

Background knowledge referred to

K-means is not deterministic and it also consists of number of iterations.

Cluster is

Two increasingly important ethical aspects of social media are

Synonym for data mining is

Which of the following issue is considered before investing in Data Mining?

A definition or a concept is if it classifies any examples as coming within the concept

To detect fraudulent usage of credit cards, the following data mining task should be used

Data Visualization in mining cannot be done using

Classification accuracy is

Which of the following ways can be used to represent a graph?

A definition or a concept is if it classifies any examples as coming within the concept

Media, Analytics, and Data Mining Techniques

Social Network Analysis and Clustering Algorithms

Network Analysis and Behavior Modeling in Social Media

Exploring User Migration, Security, and Data Mining in Social Media Sites

Social Media and Networking

Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications

Data Mining and Network Analysis: Key Concepts and Techniques

Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics

Network Analysis and Social Media

Social Media Analytics and Data Extraction

Social Media Analysis and Modeling Techniques

Various Aspects of Social Media and Prediction Techniques

Filters

Exam 5: Data Mining and Clustering: Key Concepts and Tasks

Data independence means

Which of the following combination is incorrect?

Social networks are great distribution channel for ___________

Which statement is not TRUE regarding a data mining task?

Which of the following activities is a data mining task?

Which of the following is finally produced by Hierarchical Clustering?

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

N-grams are defined as the combination of N keywords together. How many bi-grams can be generated from given sentence?

Background knowledge referred to

K-means is not deterministic and it also consists of number of iterations.

Cluster is

Two increasingly important ethical aspects of social media are

Synonym for data mining is

Which of the following issue is considered before investing in Data Mining?

A definition or a concept is if it classifies any examples as coming within the concept

To detect fraudulent usage of credit cards, the following data mining task should be used

Data Visualization in mining cannot be done using

Classification accuracy is

Which of the following ways can be used to represent a graph?

A definition or a concept is if it classifies any examples as coming within the concept

Media, Analytics, and Data Mining Techniques

Social Network Analysis and Clustering Algorithms

Network Analysis and Behavior Modeling in Social Media

Exploring User Migration, Security, and Data Mining in Social Media Sites

Social Media and Networking

Exploring Network Visualization and Analysis Tools: Techniques, Measures, and Applications

Data Mining and Network Analysis: Key Concepts and Techniques

Network Analysis and Individual Behavior: Understanding Centrality, Transitivity, and Social Dynamics

Network Analysis and Social Media

Social Media Analytics and Data Extraction

Social Media Analysis and Modeling Techniques

Various Aspects of Social Media and Prediction Techniques

Filters