Deck 1: Data Mining: a First View

Question 1

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
Develop a profile for credit card customers likely to carry an average monthly balance of more than $1000.00.

Answer 1

a

Question 2

Data used to build a data mining model.

A) validation data
B) training data
C) test data
D) hidden data

Answer 2

B

Question 3

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
Do meaningful attribute relationships exist in a database containing information about credit card customers?

Answer 3

b

Question 4

Supervised learning and unsupervised clustering both require at least one

A) hidden attribute.
B) output attribute.
C) input attribute.
D) categorical attribute.

Question 5

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
What is the average weekly salary of all female employees under forty years of age?

Question 6

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
What attribute similarities group customers holding one or several insurance policies?

Question 7

Database query is used to uncover this type of knowledge.

A) deep
B) hidden
C) shallow
D) multidimensional

Question 8

If a customer is spending more than expected, the customer's intrinsic value is ________ their actual value.

A) greater than
B) less than
C) less than or equal to
D) equal to Matching Questions

Question 9

A person trained to interact with a human expert in order to capture their knowledge.

A) knowledge programmer
B) knowledge developer
C) knowledge engineer
D) knowledge extractor

Question 10

The process of forming general concept definitions from examples of concepts to be learned.

A) deduction
B) abduction
C) induction
D) conjunction

Question 11

Computers are best at learning

A) facts.
B) Concepts.
C) Procedures.
D) Principles.

Question 12

Supervised learning differs from unsupervised clustering in that supervised learning requires

A) at least one input attribute.
B) input attriutes to be categorical.
C) at least one output attribute.
D) ouput attriubutes to be categorical.

Question 13

A structure designed to store data for decision support.

A) operational database
B) flat file
C) decision tree
D) data warehouse

Question 14

Like the probabilistic view, the ________ view allows us to associate a probability of membership with each classification.

A) exemplar
B) deductive
C) classical
D) inductive

Question 15

Which of the following is a valid production rule for the decision tree below?

A) IF Business Appointment = No & Temp above 70 = No THEN Decision = wear slacks
B) IF Business Appointment = Yes & Temp above 70 = Yes THEN Decision = wear shorts
C) IF Temp above 70 = No THEN Decision = wear shorts
D) IF Business Appointment= No & Temp above 70 = No THEN Decision = wear jeans

Question 16

A statement to be tested.

A) theory
B) procedure
C) principle
D) hypothesis

Question 17

Data mining is best described as the process of

A) identifying patterns in data.
B) deducing relationships in data.
C) representing data.
D) simulating trends in data.

Question 18

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
Determine the characteristics of a successful used car salesperson.

Question 19

A nearest neighbor approach is best used

A) with large-sized datasets.
B) when irrelevant attributes have been removed from the data.
C) when a generalized model of the data is desireable.
D) when an explanation of what has been found is of primary importance.

Question 20

Which of the following is not a characteristic of a data warehouse?

A) contains historical data
B) designed for decision support
C) stores data in normalized tables
D) promotes data redundancy

Question 21

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
Do single men play more golf than married men?

Question 22

Determine which is the best approach for each problem.
a. supervised learning
b. unsupervised clustering
c. data query
Determine whether a credit card transaction is valid or fraudulent.
Answers to Chapter 1 Questions
Multiple Choice Questions