Data Mining Multiple Choice Questions (MCQ) Online Test #18
What is the main purpose of "association rule mining" in data mining?
In data mining, what is the term "support" used to measure?
Which algorithm is commonly used for clustering in data mining?
What is "cross-validation" used for in data mining?
Which data mining technique is used to identify patterns in sequential data, such as time series?
What is the purpose of "data normalization" in the data mining process?
In data mining, what is the "lift" measure used to evaluate?
Which technique is used to reduce overfitting in data mining models?
What does "data wrangling" involve in the data mining process?
Which method is used to evaluate the performance of clustering algorithms?
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- This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #18" 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".