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Data Mining Multiple Choice Questions (MCQ) Online Test #15


Data Mining MCQ #141:

What is the primary objective of pattern recognition in data analysis?

About Data Mining Multiple Choice Question (MCQ) #141:
This ICT Multiple Choice Question (ICT MCQ) #141 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the primary objective of pattern recognition in data analysis.

Data Mining MCQ #142:

In text mining, what technique is used to determine the sentiment or opinion expressed in a piece of text?

About Data Mining Multiple Choice Question (MCQ) #142:
This ICT Multiple Choice Question (ICT MCQ) #142 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the technique used in text mining to determine the sentiment or opinion expressed in a piece of text.

Data Mining MCQ #143:

Which data mining application is commonly used to predict future sales trends based on historical data?

About Data Mining Multiple Choice Question (MCQ) #143:
This ICT Multiple Choice Question (ICT MCQ) #143 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data mining application commonly used to predict future sales trends based on historical data.

Data Mining MCQ #144:

How can data mining address the challenge of big data in marketing?

About Data Mining Multiple Choice Question (MCQ) #144:
This ICT Multiple Choice Question (ICT MCQ) #144 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies how data mining can address the challenge of big data in marketing.

Data Mining MCQ #145:

What does the term "outlier detection" refer to in data mining?

About Data Mining Multiple Choice Question (MCQ) #145:
This ICT Multiple Choice Question (ICT MCQ) #145 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses what "outlier detection" refers to in data mining.

Data Mining MCQ #146:

What is an important aspect of data mining for decision support systems?

About Data Mining Multiple Choice Question (MCQ) #146:
This ICT Multiple Choice Question (ICT MCQ) #146 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses an important aspect of data mining for decision support systems.

Data Mining MCQ #147:

How does data mining in cloud computing improve scalability for businesses?

About Data Mining Multiple Choice Question (MCQ) #147:
This ICT Multiple Choice Question (ICT MCQ) #147 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses how data mining in cloud computing improves scalability for businesses.

Data Mining MCQ #148:

What future trend in data mining aims to enhance the interpretation of unstructured data?

About Data Mining Multiple Choice Question (MCQ) #148:
This ICT Multiple Choice Question (ICT MCQ) #148 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a future trend in data mining that aims to enhance the interpretation of unstructured data.

Data Mining MCQ #149:

How does data mining support social network analysis?

About Data Mining Multiple Choice Question (MCQ) #149:
This ICT Multiple Choice Question (ICT MCQ) #149 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses how data mining supports social network analysis.

Data Mining MCQ #150:

What is a common use of data mining in customer relationship management (CRM) case studies?

About Data Mining Multiple Choice Question (MCQ) #150:
This ICT Multiple Choice Question (ICT MCQ) #150 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a common use of data mining in CRM case studies.
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  • This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #15" 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".