1 hour, 28 minutes, 34 seconds.

Question 1

1.

What rule (i.e. R1, R2, R3, R4, or R5) would you use for the hawk and for the grizzly bear?

4 points  

Question 2

1.

What is the values of Cheat in the test data column?

4 points  

Question 3

1. Visualization is the conversion of _________ into _________ or tabular format.

a.

b.

c.

d.

4 points  

Question 4

1. In data mining, “Closing the loop” is a phrase most often used for: 

a.

b.

c.

d.

4 points  

Question 5

1. Which one of the following is NOT a challenge that motivated the development of data mining.

a.

b.

c.

d.

4 points  

Question 6

1. It is not possible for some of the child nodes to be empty (i.e. there are no records associated with these nodes).

True

False

4 points  

Question 7

1. Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data.

True
False
4 points  

Question 8

1.

Four

of the core data mining tasks are: Anomaly Detection, Association Analysis, Predictive Modeling, and Cluster Analysis

True
False
4 points  

Question 9

1.

Solve this equation for P(M/S)

4 points  

Question 10

1.

These images are examples of __________________.

4 points  

Question 11

1. Data cubes may have either more or fewer than ______ dimension(s).

a.

b.

c.

d.

4 points  

Question 12

1. Which type of Sampling is this?

As each item is selected, it is removed from the population

a.

b.

c.

d.

4 points  

Question 13

1. Support Vector Machines

Which is hyperplane is better between B1 and B2?

a.

b.

c.

d.

4 points  

Question 14

1. What is the phenomenon that many types of data analysis become significantly harder as the dimensionality of the data increases?

a.

b.

c.

d.

4 points  

Question 15

1. What does ACCENT principles stand for:

a.

b.

c.

d.

4 points  

Question 16

1.

What is the name of the node represented by “Age”?

a.

b.

c.

d.

4 points  

Question 17

1. Data exploration can aid in the selecting of the appropriate post-processing and data analysis techniques.

True
False
4 points  

Question 18

1. Data mining is an integral part of knowledge discovery in database (KDD), which is the overall process of converting ____ into _____.

a.

b.

c.

d.

4 points  

Question 19

1. Steps in Decision Trees

1. Choose Best attribute

2.

Extend tree by adding branch for each attribute values

3. Sort training examples to leaf nodes

4. if all/most training examples are being classified, then ______ else ________ for leaf nodes.

a.

b.

c.

d.

4 points  

Question 20

1. In this technique, each attribute is associated with a specific feature of a face, and the attribute value is used to determine the way a facial feature is expressed.  This technique is called._______________

4 points  

Question 21

1. The Bayes theorem is a statistical principle for combining prior knowledge of the classes with new evidence gathered from data.

True
False
4 points  

Question 22

1. Name the four (4) types of attributes:

a.

b.

c.

d.

4 points  

Question 23

1. Match the following Feature Subset Selection

1.
2.

4 points  

Question 24

1. Which of the following is NOT a measure of node impurity:

a.

b.

c.

d.

4 points  

Question 25

1.

This image is an example of…

a.

b.

c.

d.

4 points  

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