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Data Mining Multiple Choice Questions (MCQ) Online Test #9

Data Mining MCQ #81:

Which data mining technique is often used to discover hidden patterns in large datasets in business intelligence?

About Data Mining Multiple Choice Question (MCQ) #81:
This ICT Multiple Choice Question (ICT MCQ) #81 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data mining technique often used to discover hidden patterns in large datasets in business intelligence.
Data Mining MCQ #82:

Which ethical principle is crucial when handling data in data mining?

About Data Mining Multiple Choice Question (MCQ) #82:
This ICT Multiple Choice Question (ICT MCQ) #82 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a crucial ethical principle when handling data in data mining.
Data Mining MCQ #83:

In association rule mining, what does the term "support" refer to?

About Data Mining Multiple Choice Question (MCQ) #83:
This ICT Multiple Choice Question (ICT MCQ) #83 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies what the term "support" refers to in association rule mining.
Data Mining MCQ #84:

What is an important aspect of evaluating data mining models?

About Data Mining Multiple Choice Question (MCQ) #84:
This ICT Multiple Choice Question (ICT MCQ) #84 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses an important aspect of evaluating data mining models.
Data Mining MCQ #85:

What is a key advantage of using cloud-based data mining tools?

About Data Mining Multiple Choice Question (MCQ) #85:
This ICT Multiple Choice Question (ICT MCQ) #85 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a key advantage of using cloud-based data mining tools.
Data Mining MCQ #86:

Which emerging technology is expected to significantly impact the future of data mining?

About Data Mining Multiple Choice Question (MCQ) #86:
This ICT Multiple Choice Question (ICT MCQ) #86 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies an emerging technology expected to significantly impact the future of data mining.
Data Mining MCQ #87:

In social network analysis, what does community detection aim to uncover?

About Data Mining Multiple Choice Question (MCQ) #87:
This ICT Multiple Choice Question (ICT MCQ) #87 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses what community detection aims to uncover in social network analysis.
Data Mining MCQ #88:

What is an example of a data mining case study in retail?

About Data Mining Multiple Choice Question (MCQ) #88:
This ICT Multiple Choice Question (ICT MCQ) #88 focuses on Data Mining within the "Advanced ICT MCQ" category. This question provides an example of a data mining case study in retail.
Data Mining MCQ #89:

Which data preprocessing technique involves changing the format or structure of data to make it suitable for analysis?

About Data Mining Multiple Choice Question (MCQ) #89:
This ICT Multiple Choice Question (ICT MCQ) #89 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data preprocessing technique that involves changing the format or structure of data to make it suitable for analysis.
Data Mining MCQ #90:

What is the main purpose of using k-Nearest Neighbors (k-NN) in data analysis?

About Data Mining Multiple Choice Question (MCQ) #90:
This ICT Multiple Choice Question (ICT MCQ) #90 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the main purpose of using k-Nearest Neighbors (k-NN) in data analysis.
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  • This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #9" 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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