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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Information technology: general issues

• Full title: Improved Decision-making in Data Mining
• Author: Eric Kyper
• Language: English
• Binding: Paperback
• Number of pages: 52
• EAN: 9783836489850
• ISBN: 3836489856
• ID: 06990270
• Publisher: VDM Verlag
• Weight: 82 g
• Dimensions: 229 × 152 × 3 mm
• Date of publishing: 01. December 2008

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