Decision Tree Pruning Using Expert Knowledge

Name: Decision Tree Pruning Using Expert Knowledge
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836491556
Price: 379.52 RON
Availability: InStock

Cost-sensitive Pruning

Autor: Jingfeng Cai

Limbă:

Legare: Carte broșată

Editura: VDM Verlag Dr. Mueller E.K.

Disponibilitate: În depozitul extern

Expediem în 8-11 zile

379.52 lei

Decision tree technology has proven to be a valuable way of capturing human decision making within a...

Informații despre carte

Autor

Jingfeng Cai

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2008

Pagini

236

EAN

9783836491556

ISBN

3836491559

Enbook ID

06901449

Editura

VDM Verlag Dr. Mueller E.K.

Greutate

322

Dimensiuni

152 x 229 x 13

Descriere completă

Decision tree technology has proven to be a valuable way of capturing human decision making within a computer. How to prune the decision tree is one of the research directions of the decision tree technique, but the idea of cost-sensitive pruning has received much less attention than other pruning techniques even though additional flexibility and increased performance can be obtained from this method. This dissertation reports on a study of cost-sensitive methods for decision tree pruning. A decision tree pruning algorithm called KBP1.0, which includes four cost-sensitive methods, is developed. The intelligent inexact classification is used for first time in KBP1.0 to prune the decision tree. Using expert knowledge in decision tree pruning is discussed for the first time. By comparing the cost-sensitive pruning methods in KBP1.0 with other traditional pruning methods on benchmark data sets, the advantage and disadvantage of cost-sensitive methods in KBP1.0 have been summarized. This research will enhance our understanding of the theory, design and implementation of decision tree pruning using expert knowledge.

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Decision Tree Pruning Using Expert Knowledge

Cost-sensitive Pruning

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