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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Improved Decision-making in Data Mining

Improved Decision-making in Data Mining

Kyper, Eric
Lloyd, Scott J.

Paperback

General Computers

ISBN10: 3836489856
ISBN13: 9783836489850
Publisher: Vdm Verlag
Published: Dec 1 2008
Pages: 52
Weight: 0.18
Height: 0.11 Width: 6.00 Depth: 9.00
Language: English
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.

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