Decision Tree Pruning Using Expert Knowledge

Language: English

Published by VDM Verlag Dr. Müller E.K. Dez 2013, 2013

3836491559 / 9783836491556

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 236 pp. Englisch.…

Seller Inventory # 9783836491556

Title
Decision Tree Pruning Using Expert Knowledge
Author
Jingfeng Cai
Publisher
VDM Verlag Dr. Müller E.K. Dez 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3836491559
ISBN 13
9783836491556
Item weight
369 grams
Dimensions
220x150x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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