Decision Tree Pruning Using Expert Knowledge

Name: Decision Tree Pruning Using Expert Knowledge
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836491556
Price: 26473 HUF
Availability: InStock

Cost-sensitive Pruning

Szerző: Jingfeng Cai

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag Dr. Mueller E.K.

Elérhetőség: Beszállítói készleten

Küldés 8-11 napon belül

26 473 Ft

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

Információk a könyvről

Szerző

Jingfeng Cai

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2008

oldal

236

EAN

9783836491556

ISBN

3836491559

Enbook ID

06901449

Kiadó

VDM Verlag Dr. Mueller E.K.

Súly

322

Méretek

152 x 229 x 13

Teljes leírás

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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Teljes leírás

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