Exam 4: Predictive Analytics I: Data Mining Process, methods, and Algorithms
Exam 1: An Overview of Business Intelligence,analytics,and Data Science70 Questions
Exam 2: Descriptive Analytics I: Nature of Data,statistical Modeling,68 Questions
Exam 3: Descriptive Analytics II: Business Intelligence and Data Warehousing70 Questions
Exam 4: Predictive Analytics I: Data Mining Process, methods, and Algorithms69 Questions
Exam 5: Predictive Analytics II: Text, web, and Social Media Analytics70 Questions
Exam 6: Prescriptive Analytics: Optimization and Simulation68 Questions
Exam 7: Big Data Concepts and Tools69 Questions
Exam 8: Future Trends,privacy and Managerial Considerations in Analytics68 Questions
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Briefly describe five techniques (or algorithms)that are used for classification modeling.
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Whereas ________ starts with a well-defined proposition and hypothesis,data mining starts with a loosely defined discovery statement.
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The ________ is the most commonly used algorithm to discover association rules.Given a set of itemsets,the algorithm attempts to find subsets that are common to at least a minimum number of the itemsets.
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Clustering partitions a collection of things into segments whose members share
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Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system.
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All of the following statements about data mining are true EXCEPT
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All of the following statements about data mining are true EXCEPT:
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In estimating the accuracy of data mining (or other)classification models,the true positive rate is
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