Improved Decision-making in Data Mining (Paperback)

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.

General

Imprint:	VDM Verlag
Country of origin:	Germany
Release date:	December 2008
First published:	December 2008
Authors:	Eric Kyper • Scott J Lloyd
Dimensions:	229 x 152 x 3mm (L x W x T)
Format:	Paperback - Trade
Pages:	52
ISBN-13:	978-3-8364-8985-0
Categories:	Books > Computing & IT > General theory of computing > General Promotions
LSN:	3-8364-8985-6
Barcode:	9783836489850

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