Computer Science Homework Help

Note the basic concepts in data classification.

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Discuss the general framework for classification.

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What is decision tree and decision tree modifier? Note the importance.

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What is hyper parameter?

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Note the pitfalls of model selection and evaluation.

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• Capri, H. (2016). Data mining : principles, applications and emerging challenges . Nova Publishers. Chapter 1.

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• What is an attribute and note the importance?
• What are the different types of attributes?
• What is the difference between discrete and continuous data?
• Why is data quality important?
• What occurs in data preprocessing?
• In section 2.4, review the measures of similarity and dissimilarity, select one topic and note the key factors.

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ch. 2 in textbook: Data and Classification: Basic Concepts