A Heuristic Rule Induction Approach to Decision TreeCreation and Model Selection
Omschrijving
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.
Ik heb een vraag over het boek:
‘Improved Decision-making in Data Mining - Kyper, Eric, Lloyd, Scott J (University of Rhode Island USA)’.
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