Chapter 8: Data Mining

Question 1

What is Data Mining?

Answer 1

The process of analyzing large amounts of data to discover patterns, relationships, and trends that cannot easily be discovered through slicing and dicing techniques.

Question 2

What is: “The process of analyzing large amounts of data to discover patterns, relationships, and trends that cannot easily be discovered through slicing and dicing techniques.” ?

Answer 2

Data Mining

Question 3

What is the greatest advantage of data mining?

Answer 3

The capacity for analyzing large datasets where the nuggets are difficult to identify.

Question 4

What are the 7 -V’s of Big Data?

Answer 4

Value
Volatility
Volume
Variety
Velocity
Veracity
Variability

Question 5

The fact, we can assert that ______ is the “big” in big data.

Answer 5

Volume

Question 6

______ refers to the speed at which data are generated by and collected from source systems.

Answer 6

Velocity

Question 7

What refers to how quickly data can be processed so as to provide a feedback loop.

Answer 7

Velocity

Question 8

Changes in the meaning of data over time or in context is known as what?

Answer 8

Variability

Question 9

In language what is an example of word variablility?

Answer 9

Hot, cool, fit: context of the word

Question 10

______ is the reliability or truthfulness of data?

Answer 10

Veracity

Question 11

What refers to the lifespan of data?

Answer 11

Volatility

Question 12

What is the biggest driving force in data?

Answer 12

Value: does it provide value to support business decisions

Question 13

What is the most predictable type of data mining system?

Answer 13

deterministic system

Question 14

What type of system is a Chaotic system?

Answer 14

it is deterministic but is highly sensitive to fluctuations in input conditions

Question 15

What is a stochastic system?

Answer 15

Non-deterministic system, they do not have deterministic laws or rules.

Question 16

What are the 5 steps of the data mining process?

Answer 16

Data Staging
Data Mining Model
Validation
Deployment
Monitoring

Question 17

_____ models use past data to analyze and discover trends, patterns, and relationships with the goal of applying results to future data to make predictions.

Answer 17

Predictive

Question 18

_____ models for analytics are used to describe trends, patterns, and relationships in existing data without making predictions about future outcomes.

Answer 18

Descriptive

Question 19

What is unsupervised data mining?

Answer 19

Another name for descriptive modeling

Question 20

Predictive modeling has which other name?

Answer 20

supervised data mining

Question 21

What is a prescriptive model?

Answer 21

They answer the question, what action should be taken based upon the results from prescriptive models.

Question 22

Anticipatory models do what?

Answer 22

seek to determine what might happen in the future in order to inform business decisions.