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Business Intelligence and Analytics Systems
Quiz 6: Techniques for Predictive Modeling
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Question 41
Short Answer
In the power generators case study, data mining-driven software tools, including data-driven ________ technologies with historical data, helped an energy company reduce emissions of NOx and CO.
Question 42
Short Answer
In a typical network structure of an ANN consisting of three layers-input, intermediate, and output-the intermediate layer is called the ________ layer.
Question 43
Short Answer
Due largely to their better classification results, support vector machines (SVMs) have recently become a popular technique for ________-type problems.
Question 44
Short Answer
Neural computing refers to a ________ methodology for machine learning.
Question 45
Short Answer
A thorough analysis of an early neural network model called the ________, which used no hidden layer, in addition to a negative evaluation of the research potential by Minsky and Papert in 1969, led to a diminished interest in neural networks.
Question 46
Short Answer
Writing the SVM classification rule in its dual form reveals that classification is only a function of the ________, i.e., the training data that lie on the margin.
Question 47
Short Answer
In the formulation of the traffic accident study in the traffic case study, the five-class prediction problem was decomposed into a number of ________ models in order to obtain the granularity of information needed.
Question 48
Short Answer
In the mathematical formulation of SVM's, the normalization and/or scaling are important steps to guard against variables/attributes with ________ that might otherwise dominate the classification formulae.
Question 49
Short Answer
In machine learning, the ________ is a method for converting a linear classifier algorithm into a nonlinear one by using a nonlinear function to map the original observations into a higher-dimensional space.
Question 50
Short Answer
In a neural network, groups of neurons can be organized in a number of different ways; these various network patterns are referred to as ________.
Question 51
Short Answer
The student retention case study shows that, given sufficient data with the proper variables, data mining techniques are capable of predicting freshman student attrition with approximately ________ percent accuracy.