Exam 5: Data Mining for Business Intelligence
Exam 1: Decision Support Systems and Business Intelligence68 Questions
Exam 2: Decision Making, Systems, Modeling, and Support70 Questions
Exam 3: Decision Support Systems Concepts, Methodologies, and Technologies:70 Questions
Exam 4: Modeling and Analysis69 Questions
Exam 5: Data Mining for Business Intelligence69 Questions
Exam 6: Artificial Neural Networks for Data Mining67 Questions
Exam 7: Text and Web Mining69 Questions
Exam 8: Data Warehousing69 Questions
Exam 9: Business Performance Management69 Questions
Exam 10: Collaborative Computer-Supported Technologies and70 Questions
Exam 11: Knowledge Management70 Questions
Exam 12: Artificial Intelligence and Expert Systems69 Questions
Exam 13: Advanced Intelligent Systems66 Questions
Exam 14: Management Support Systems: Emerging Trends and Impacts70 Questions
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Data mining is a prime candidate for better management of companies that are data-rich,but knowledge-poor.
(True/False)
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Data that has a meaningful,or nonarbitrary,zero point is ________ data.
(Multiple Choice)
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Because the latter steps in the data mining process are built on the outcome of the former ones,one should:
(Multiple Choice)
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________ means that discovered patterns in a dataset hold true on new data with a sufficient degree of certainty.
(Short Answer)
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Data types such as date/time,unstructured text,image,and audio need to be converted into some form of categorical or numeric representation before they can be processed by data mining algorithms.
(True/False)
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Predictions tells the nature of future occurrences of certain events based on what has happened in the past,such as predicting the winner of the Super Bowl or forecasting the absolute temperature of a particular day.
(True/False)
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With ________ forecasting,the data are a series of values of the same variable that is captured and stored over time.These data are then used to develop models to extrapolate the future values of the same phenomenon.
(Short Answer)
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