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Data Mining Multiple Choice Questions (MCQ) Online Test #5


Data Mining MCQ #41:

Which of the following techniques is used to discover knowledge from unstructured data?

About Data Mining Multiple Choice Question (MCQ) #41:
This ICT Multiple Choice Question (ICT MCQ) #41 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a technique used to discover knowledge from unstructured data.

Data Mining MCQ #42:

In the context of data mining, what does privacy preservation involve?

About Data Mining Multiple Choice Question (MCQ) #42:
This ICT Multiple Choice Question (ICT MCQ) #42 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses what privacy preservation involves in the context of data mining.

Data Mining MCQ #43:

In the context of data mining for educational data, what does predictive modeling help with?

About Data Mining Multiple Choice Question (MCQ) #43:
This ICT Multiple Choice Question (ICT MCQ) #43 focuses on Data Mining within the "Advanced ICT MCQ" category. This question explains what predictive modeling helps with in the context of data mining for educational data.

Data Mining MCQ #44:

How can data mining improve recommendation systems?

About Data Mining Multiple Choice Question (MCQ) #44:
This ICT Multiple Choice Question (ICT MCQ) #44 focuses on Data Mining within the "Advanced ICT MCQ" category. This question explains how data mining can improve recommendation systems.

Data Mining MCQ #45:

What is an example of data preprocessing technique aimed at reducing the size of a dataset?

About Data Mining Multiple Choice Question (MCQ) #45:
This ICT Multiple Choice Question (ICT MCQ) #45 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a data preprocessing technique aimed at reducing the size of a dataset.

Data Mining MCQ #46:

Which technique is used to identify data points that significantly deviate from the majority of the data?

About Data Mining Multiple Choice Question (MCQ) #46:
This ICT Multiple Choice Question (ICT MCQ) #46 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the technique used to identify data points that significantly deviate from the majority of the data.

Data Mining MCQ #47:

In the context of data mining tools, which one is best known for its workflow-based design and extensive integration options?

About Data Mining Multiple Choice Question (MCQ) #47:
This ICT Multiple Choice Question (ICT MCQ) #47 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses which data mining tool is best known for its workflow-based design and extensive integration options.

Data Mining MCQ #48:

How is data mining applied in healthcare?

About Data Mining Multiple Choice Question (MCQ) #48:
This ICT Multiple Choice Question (ICT MCQ) #48 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies how data mining is applied in healthcare.

Data Mining MCQ #49:

Which data mining technique can be used to identify customer segments with similar behaviors?

About Data Mining Multiple Choice Question (MCQ) #49:
This ICT Multiple Choice Question (ICT MCQ) #49 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the data mining technique used to identify customer segments with similar behaviors.

Data Mining MCQ #50:

Which technique is used to validate the performance of a predictive model?

About Data Mining Multiple Choice Question (MCQ) #50:
This ICT Multiple Choice Question (ICT MCQ) #50 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses a technique used to validate the performance of a predictive model.
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  • This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #5" 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".