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

Question 1

Which statement is not TRUE regarding a 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

Answer 1

Regression is a descriptive data mining task

Question 2

Synonym for data mining is

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

Answer 2

Knowledge discovery in database

Question 3

Which of the following is not a data mining task?

A)Feature Subset Detection
B)Association Rule Discovery
C)Regression
D)Sequential Pattern Discovery

Answer 3

Feature Subset Detection

Question 4

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

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

Question 5

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)

Question 6

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

Question 7

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

Question 8

Data Visualization in mining cannot be done using

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

Question 9

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

Question 10

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

A)Complete
B)Consistent
C)Constant

Question 11

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

Question 12

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

Question 13

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

Question 14

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

Question 15

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

Question 16

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

Question 17

Which of the following combination is incorrect?

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

Question 18

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

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 19

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 20

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

Question 21

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

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

Question 22

Social networks are great distribution channel for ___________

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

Question 23

Two increasingly important ethical aspects of social media are

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