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Data Mining Multiple Choice Questions (MCQ) Online Test #12

Data Mining MCQ #111:

What is the main feature of Decision Trees that helps in data classification?

About Data Mining Multiple Choice Question (MCQ) #111:
This ICT Multiple Choice Question (ICT MCQ) #111 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the main feature of Decision Trees that aids in data classification.
Data Mining MCQ #112:

In data mining, which tool is noted for its extensive support for different data types and workflows?

About Data Mining Multiple Choice Question (MCQ) #112:
This ICT Multiple Choice Question (ICT MCQ) #112 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data mining tool noted for its extensive support for different data types and workflows.
Data Mining MCQ #113:

What type of data mining technique is commonly used to segment customers based on purchasing behavior?

About Data Mining Multiple Choice Question (MCQ) #113:
This ICT Multiple Choice Question (ICT MCQ) #113 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data mining technique commonly used to segment customers based on purchasing behavior.
Data Mining MCQ #114:

What is a common application of data mining in marketing analytics?

About Data Mining Multiple Choice Question (MCQ) #114:
This ICT Multiple Choice Question (ICT MCQ) #114 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a common application of data mining in marketing analytics.
Data Mining MCQ #115:

What does data preprocessing involve in the context of data mining?

About Data Mining Multiple Choice Question (MCQ) #115:
This ICT Multiple Choice Question (ICT MCQ) #115 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies what data preprocessing involves in the context of data mining.
Data Mining MCQ #116:

What is a key challenge in implementing data mining in decision support systems?

About Data Mining Multiple Choice Question (MCQ) #116:
This ICT Multiple Choice Question (ICT MCQ) #116 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a key challenge in implementing data mining in decision support systems.
Data Mining MCQ #117:

How does data mining contribute to improving business decision-making?

About Data Mining Multiple Choice Question (MCQ) #117:
This ICT Multiple Choice Question (ICT MCQ) #117 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses how data mining contributes to improving business decision-making.
Data Mining MCQ #118:

How does data mining contribute to fraud detection in banking?

About Data Mining Multiple Choice Question (MCQ) #118:
This ICT Multiple Choice Question (ICT MCQ) #118 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses how data mining contributes to fraud detection in banking.
Data Mining MCQ #119:

Which data mining method is used to segment customers in CRM systems?

About Data Mining Multiple Choice Question (MCQ) #119:
This ICT Multiple Choice Question (ICT MCQ) #119 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a data mining method used to segment customers in CRM systems.
Data Mining MCQ #120:

How does sentiment analysis apply to social media data mining?

About Data Mining Multiple Choice Question (MCQ) #120:
This ICT Multiple Choice Question (ICT MCQ) #120 focuses on Data Mining within the "Advanced ICT MCQ" category. This question explains how sentiment analysis applies to social media data mining.
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  • This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #12" is designed for individuals at the advanced level and focuses on "Data Mining". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Data Mining".
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