Paper Title:
An Improved Synthesized Decision Tree Algorithm and its Application
  Abstract

Decision tree classification is one of the most widely-used methods in data mining which can provide useful decision-making analysis for users. But most of the decision tree methods have some efficiency bottle-necks and can only applied to small-scale datasets. In this paper, we present an new improved synthesized decision tree algorithm named CA which includes three important parts like dimension reduction, pre-clustering and decision tree method, and also give out its formalized specification. Through dimension reduction and synthesized pre-clustering methods, we can optimize the initial dataset and considerably reduce the decision tree’s input computation costs. We also improve the decision tree method by introducing parallel processing concept which can enhance its calculation precision and decision efficiency. This paper applies CA into maize seed breeding and analyzes its efficiency in every part comparing with original methods, and the results shows that CA algorithm is better.

  Info
Periodical
Advanced Materials Research (Volumes 108-111)
Edited by
Yanwen Wu
Pages
244-249
DOI
10.4028/www.scientific.net/AMR.108-111.244
Citation
J. L. Qiu, D. Ji, X. Gu, F. Li, P. He, "An Improved Synthesized Decision Tree Algorithm and its Application", Advanced Materials Research, Vols. 108-111, pp. 244-249, 2010
Online since
May 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Dong Wang, Shi Huan Xiong
Chapter 8: Nanomaterials and Nanomanufacturing
Abstract:The learning sequence is an important factor of affecting the study effect about incremental Bayesian classifier. Reasonable learning...
1455
Authors: Li Yan Jiang, Ya Ping Zhong, Qing Jian Wu
Chapter 5: Algorithm Design and Applications
Abstract:The sports injury is common in training, hindered the athletes to further improve the sports results. There are many factors in sports...
1545
Authors: Yonchanok Khaokaew, Tanapat Anusas-Amornkul, Koonlachat Meesublak
Chapter 1: Communication and Applied Information Technologies
Abstract:In recent years, anomaly based intrusion detection techniques are continuously developed and a support vector machine (SVM) is one of the...
125