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Data Mining Multiple Choice Questions (MCQ) Online Test #10


Data Mining MCQ #91:

Which technique is often used in web mining to analyze user behavior and preferences on websites?

About Data Mining Multiple Choice Question (MCQ) #91:
This ICT Multiple Choice Question (ICT MCQ) #91 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the technique often used in web mining to analyze user behavior and preferences on websites.

Data Mining MCQ #92:

How is data mining utilized in social media analytics?

About Data Mining Multiple Choice Question (MCQ) #92:
This ICT Multiple Choice Question (ICT MCQ) #92 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies how data mining is utilized in social media analytics.

Data Mining MCQ #93:

In the context of data mining, what is a significant challenge with big data?

About Data Mining Multiple Choice Question (MCQ) #93:
This ICT Multiple Choice Question (ICT MCQ) #93 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses a significant challenge with big data in the context of data mining.

Data Mining MCQ #94:

What does "confidence" measure in association rule mining?

About Data Mining Multiple Choice Question (MCQ) #94:
This ICT Multiple Choice Question (ICT MCQ) #94 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses what "confidence" measures in association rule mining.

Data Mining MCQ #95:

What role do decision support systems play in data mining?

About Data Mining Multiple Choice Question (MCQ) #95:
This ICT Multiple Choice Question (ICT MCQ) #95 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the role of decision support systems in data mining.

Data Mining MCQ #96:

In what way does data mining benefit healthcare informatics?

About Data Mining Multiple Choice Question (MCQ) #96:
This ICT Multiple Choice Question (ICT MCQ) #96 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses how data mining benefits healthcare informatics.

Data Mining MCQ #97:

What is a significant future trend in data mining related to integrating different data sources?

About Data Mining Multiple Choice Question (MCQ) #97:
This ICT Multiple Choice Question (ICT MCQ) #97 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses a significant future trend in data mining related to integrating different data sources.

Data Mining MCQ #98:

How can data mining improve Customer Relationship Management (CRM)?

About Data Mining Multiple Choice Question (MCQ) #98:
This ICT Multiple Choice Question (ICT MCQ) #98 focuses on Data Mining within the "Advanced ICT MCQ" category. This question explains how data mining can improve Customer Relationship Management (CRM).

Data Mining MCQ #99:

In a data mining case study for healthcare, what is a common application?

About Data Mining Multiple Choice Question (MCQ) #99:
This ICT Multiple Choice Question (ICT MCQ) #99 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses a common application of data mining in healthcare case studies.

Data Mining MCQ #100:

In which data mining technique are rules like "If A, then B" used to describe the relationship between items in a dataset?

About Data Mining Multiple Choice Question (MCQ) #100:
This ICT Multiple Choice Question (ICT MCQ) #100 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data mining technique where rules like "If A, then B" are used to describe the relationship between items in a dataset.
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  • This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #10" 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".