Exam 5: Data Mining
Exam 1: An Overview of Business Intelligence, Analytics, and Decision Support70 Questions
Exam 2: Foundations and Technologies for Decision Making70 Questions
Exam 3: Data Warehousing70 Questions
Exam 4: Business Reporting, Visual Analytics, and Business Performance Management70 Questions
Exam 5: Data Mining70 Questions
Exam 6: Techniques for Predictive Modeling70 Questions
Exam 7: Text Analytics, Text Mining, and Sentiment Analysis70 Questions
Exam 8: Web Analytics, Web Mining, and Social Analytics70 Questions
Exam 9: Model-Based Decision Making: Optimization and Multi-Criteria Systems70 Questions
Exam 10: Modeling and Analysis: Heuristic Search Methods and Simulation70 Questions
Exam 11: Automated Decision Systems and Expert Systems70 Questions
Exam 12: Knowledge Management and Collaborative Systems70 Questions
Exam 13: Big Data and Analytics70 Questions
Exam 14: Business Analytics: Emerging Trends and Future Impacts70 Questions
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Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.
(True/False)
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In the 2degrees case study, the main effectiveness of the new analytics system was in dissuading potential churners from leaving the company.
(True/False)
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In ________, a classification method, the complete data set is randomly split into mutually exclusive subsets of approximately equal size and tested multiple times on each left-out subset, using the others as a training set.
(Short Answer)
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Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?
(Multiple Choice)
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Data are often buried deep within very large ________, which sometimes contain data from several years.
(Short Answer)
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The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.
(True/False)
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Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience, but it has little business significance.
(True/False)
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