Question 1

Which is not a phase of the data mining process?
A)Business understanding.
B)Data preparation.
C)Modeling.
D)Deployment.
E)None of the above.

Accepted Answer

All the options listed (A, B, C, D) are recognized phases of the data mining process, thus none of them is an incorrect choice.

Question 2

Popular data mining tools inspired by models that tried to mimic the function of the brain are known as ________________________ .
A)Tree models
B)Supervised problems
C)Neural networks
D)Nodal network
E)None of the above.

Accepted Answer

Neural networks are data mining tools inspired by the structure and function of the brain. They are designed to recognize patterns and solve problems in ways similar to human thinking.

Question 3

Data not used in building the model but used to evaluate the performance of the model is known as ________________________ .
A)the terminal node
B)the test set
C)meta data
D)the training set
E)None of the above.

Accepted Answer

The test set is a portion of the dataset that is held back and not used during the model training process. It is used after the model has been trained to evaluate its performance on unseen data, ensuring that the model's predictions are valid and reliable.

Question 4

Suppose data mining is used to determine whether or not a customer would purchase a hybrid vehicle.In data mining this is referred to as what type of problem?
A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Accepted Answer

This is a classification problem because it involves categorizing customers into two groups: those who would purchase a hybrid vehicle and those who would not. Classification is a type of supervised learning in data mining used for predicting the category or class of a new observation.

Question 5

Suppose the goal of data mining using in a data warehouse is to predict whether a customer's expenditures on international specialty food items would increase, decrease or stay the same in the next year.What technique might be most appropriate for achieving this goal?
A)Neural network.
B)Unsupervised problem.
C)Tree model.
D)Nodal network.
E)None of the above.

Accepted Answer

The answer of Suppose the goal of data mining using...

Question 6

Suppose the goal of data mining in a data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over the next year.What technique is most appropriate for achieving this goal?
A)Neural network.
B)Supervised problem.
C)Tree model.
D)Nodal network.
E)None of the above.

Accepted Answer

The answer of Suppose the goal of data mining in...

Question 7

Suppose data mining is used to determine how important it is for a customer to purchase a vehicle with a very low carbon footprint.In data mining this is referred to as what type of problem?
A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Accepted Answer

The answer of Suppose data mining is used to determine...

Question 8

Information about variables, such as variable definitions as well as how and when data were collected, is collectively called ________________________ .
A)superdata
B)metadata
C)extradata
D)cases
E)None of the above.

Accepted Answer

Metadata is the term used to describe information about data, including details about variables, their definitions, and the methods and timing of data collection.

Question 9

Suppose data mining is used to determine whether or not a household subscribes to magazines about home and garden.In data mining this is referred to as what type of problem?
A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Accepted Answer

This is a classification problem because it involves categorizing households into two groups: those that subscribe to home and garden magazines and those that do not. Classification is a type of supervised learning where the goal is to predict the categorical labels of new instances, based on past observations.

Question 10

Suppose data mining is used to determine how much a customer spends annually on energy efficient products.In data mining this is referred to as what type of problem?
A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Accepted Answer

Determining how much a customer spends annually on energy-efficient products involves predicting a continuous value (the amount of money spent), which is a regression problem in data mining. Regression analysis is used to predict the value of an outcome variable based on one or more input variables.

Question 11

Data used in a supervised problem to build the predictive model is known as ________________________ .
A)the terminal node
B)the test set
C)meta data
D)the training set
E)None of the above.

Accepted Answer

The training set is the data used in a supervised learning problem to build the predictive model. This set includes both the input data and the corresponding correct outputs.

Quiz 21: Introduction to Data Mining

Which is not a phase of the data mining process?

Popular data mining tools inspired by models that tried to mimic the function of the brain are known as ________________________ .

Data not used in building the model but used to evaluate the performance of the model is known as ________________________ .

Suppose data mining is used to determine whether or not a customer would purchase a hybrid vehicle.In data mining this is referred to as what type of problem?

Suppose the goal of data mining using in a data warehouse is to predict whether a customer's expenditures on international specialty food items would increase, decrease or stay the same in the next year.What technique might be most appropriate for achieving this goal?

Suppose the goal of data mining in a data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over the next year.What technique is most appropriate for achieving this goal?

Suppose data mining is used to determine how important it is for a customer to purchase a vehicle with a very low carbon footprint.In data mining this is referred to as what type of problem?

Information about variables, such as variable definitions as well as how and when data were collected, is collectively called ________________________ .

Suppose data mining is used to determine whether or not a household subscribes to magazines about home and garden.In data mining this is referred to as what type of problem?

Suppose data mining is used to determine how much a customer spends annually on energy efficient products.In data mining this is referred to as what type of problem?

Data used in a supervised problem to build the predictive model is known as ________________________ .