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Improved Decision-Making in Data Mining - Eric Kyper,Scott J. Lloyd

English
2008-12-01
€118.02 €147.53

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This book explores model selection using decision trees based on discretized data, and the accompanying implications this has for decision-makers. Model selection is a non-trivial exercise with a large impact on decision-making. An information criterion for selecting between competing decision tree models is presented along with a method for quantifying the opportunity costs of choosing a specific decision ... Full description

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Description

This book explores model selection using decision trees based on discretized data, and the accompanying implications this has for decision-makers. Model selection is a non-trivial exercise with a large impact on decision-making. An information criterion for selecting between competing decision tree models is presented along with a method for quantifying the opportunity costs of choosing a specific decision tree. After the initial information criterion development a real world example from an American insurance company call center is presented. The example includes the development of a program to automate data discretization, decision tree creation, and decision tree selection. A decision tree is chosen and critically analyzed from a managerial decision-making point of view. Actual call center performance data is used as input data and results are identified and presented in a way that is advantageous to managers.

More Information

Author Eric Kyper, Scott J. Lloyd
Publisher KS Omniscriptum Publishing
Release year 2008
Cover type Softcover
EAN 9783836489850
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€118.02 €147.53