Exam 12: Introduction to Data Mining
Exam 1: Introduction to Business Analytics50 Questions
Exam 2: Analytics on Spreadsheets52 Questions
Exam 3: Visualizing and Exploring Data50 Questions
Exam 4: Descriptive Statistical Measures79 Questions
Exam 5: Probability Distributions and Data Modeling50 Questions
Exam 6: Sampling and Estimation59 Questions
Exam 7: Statistical Inference50 Questions
Exam 8: Predictive Modeling and Analysis64 Questions
Exam 9: Regression Analysis50 Questions
Exam 10: Forecasting Techniques55 Questions
Exam 11: Simulation and Risk Analysis50 Questions
Exam 12: Introduction to Data Mining53 Questions
Exam 13: Linear Optimization50 Questions
Exam 14: Applications of Linear Optimization62 Questions
Exam 15: Integer Optimization50 Questions
Exam 16: Nonlinear and Non-Smooth Optimization66 Questions
Exam 17: Optimization Models with Uncertainty50 Questions
Exam 18: Decision Analysis50 Questions
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U-botit.com is an electronic commerce company that sells music online.It keeps a tab of what genre of music their registered customers buy.If u-botit.com were to use the data mining approach of association, which of the following actions would it take?
(Multiple Choice)
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________ is a data-mining technique used for classifying a set of observations into predefined classes.
(Multiple Choice)
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Validation data sets differ from training data sets in that validation data sets ________.
(Multiple Choice)
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The weights for determining the discriminant functions are determined by ________.
(Multiple Choice)
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________ is the ratio of the number of transactions that include all items in the consequent as well as the antecedent to the number of transactions that include all items in the antecedent.
(Multiple Choice)
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Logistic regression cannot be employed when the dependent variable is binary.
(True/False)
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Briefly explain classification as a data-mining tool with an example.
(Essay)
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Which of the following types of data-mining methods provide probabilistic if-then statements?
(Multiple Choice)
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In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.
(True/False)
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