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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.
Question 52
Short Answer
________ are of particular interest to modeling highly nonlinear, complex problems, systems, and processes and use hyperplanes to separate output classes in training data.
Question 53
Short Answer
In an ANN, ________ express the relative strength (or mathematical value) of the input data or the many connections that transfer data from layer to layer.
Question 54
Short Answer
In the process of image recognition (or categorization), images are first transformed into a multidimensional ________ and then, using machine-learning techniques, are categorized into a finite number of classes.