QUESTION 1

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

	a.	raw data / useful information
	b.	primary data / secondary data
	c.	input data / data fusion
	d.	input data / output data

4 points

QUESTION 2

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

	a.	Data Ownership and Distribution
	b.	High Dimensionality
	c.	Non-traditional Analysis
	d.	Measurement Errors

4 points

QUESTION 3

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

True

False

4 points

QUESTION 4

In data mining, "Closing the loop" is a phrase most often used for:

	a.	stopping the emergence of more complex data objects.
	b.	extremely labor intensive processes.
	c.	referring to the process of integrating data mining results into decision support systems.
	d.	adopting ideas from other areas.

4 points

QUESTION 5

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 6

Name the four (4) types of attributes:

	a.	Nominal, Ordinal, Interval, and Ratio
	b.	Nominal, Ordinal, Addition, and Multiplication
	c.	Distinctiveness, Order, Interval, and Ratio
	d.	Distinctiveness, Order, Addition, and Multiplication

4 points

QUESTION 7

This image is an example of...

	a.	Spatio-Temporal Data
	b.	Genomic sequence data
	c.	Sequences of transactions
	d.	Noise

4 points

QUESTION 8

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

	a.	The Curse of Reduction
	b.	The Phenomenon of Reduction
	c.	The Phenomenon of Dimensionality
	d.	The Curse of Dimensionality

4 points

QUESTION 9

Which type of Sampling is this?

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

	a.	Stratified sampling
	b.	Simple Random Sampling
	c.	Sampling with replacement
	d.	Sampling without replacement

4 points

QUESTION 10

Match the following Feature Subset Selection

- a. b. c. d.	Embedded aproach
- a. b. c. d.	Brute-force approach
- a. b. c. d.	Filter approach
- a. b. c. d.	Wrapper approach

a.	Features are selected before data mining algorithm is run.
b.	Feature selection occurs naturally as part of the data mining algorithm.
c.	Use the data mining algorithm as a black box to find best subset of attributes.
d.	Try all possible feature subsets as input to data mining algorithm.

4 points

QUESTION 11

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

4 points

QUESTION 12

What is the name of the node represented by "Age"?

	a.	Branch
	b.	Internal node
	c.	Leaf node
	d.	Root node

GGTTCCGCCTTCAGCCCCGCGCC CGCAGGGCCCGccCCGCGCCGTC GAGAAGGGCCcGcCTGGCGGGCG GGGGGAGGCGGGGCCGCCCGAGC CCAACCGAGTCCGACCAGGTGCC CCCTCTGCTCGGCCTAGACCTGA GCTCATTAGGCGGCAGCGGACAG GCCAAGTAGAACACGCGAAGCGC TGGGCTGCCTGCTGCGACCAGGG