Decision Tree Pruning Using Expert Knowledge

Name: Decision Tree Pruning Using Expert Knowledge
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836491556
Price: 68.37 EUR
Availability: InStock

Cost-sensitive Pruning

Autor: Jingfeng Cai

Jazyk:

Väzba: Brožovaná

Vydavateľ: VDM Verlag Dr. Mueller E.K.

Dostupnosť: Skladom u dodávateľa

Odosielame za 8-11 dní

68.37 €

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

Informácie o knihe

Autor

Jingfeng Cai

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2008

Stránok

236

EAN

9783836491556

ISBN

3836491559

Enbook ID

06901449

Vydavateľ

VDM Verlag Dr. Mueller E.K.

Hmotnosť

322

Rozmery

152 x 229 x 13

Kompletný popis

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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