
Data Mining
Quiz
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University
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Hồng Nguyễn
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30 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is Data Mining?
The process of collecting data from the internet without analysis
The process of searching and analyzing a large batch of data to identify patterns and extract useful information
A method of storing data in large data warehouses
The process of deleting unnecessary data from the system
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the core values of Data Mining in CRM?
Predicting which customers are likely to leave
Reducing production costs of products
Automating the manufacturing process
Developing new products without market research
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why do businesses need to use Data Mining instead of just storing customer data?
Because data only has value when it is analyzed and utilized
Because storing data is a mandatory legal requirement
Because customers prefer businesses to collect their data
Because Data Mining completely eliminates business errors
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Netflix use Data Mining to predict customer churn?
By analyzing how frequently customers watch content
By counting the number of friends sharing an account
By measuring the power consumption of streaming devices
By identifying the type of device customers use to watch content
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT an application of Data Mining in business?
Identifying high-value customers
Optimizing the supply chain
Reducing the number of employees in a company
Detecting customers at risk of canceling services
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What Does American Express Use Data Mining For?
To identify customers with high potential to become VIP clients
To increase service fees for all customers
To remove low-income customers from their system
To automatically decline high-value transactions
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following steps is NOT part of the prediction of the defined variable definition?
Create a customer analysis perspective
Create a variable analysis
Determine the variable prediction
Choose a model
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