Abstract

In view of the problem that enterprises are not quick enough to respond to market changes in current construction engineering project management, this paper proposes to use the improved C4.5 decision tree to optimize construction project management. Firstly, the optimization attributes of construction project management are constructed. Relevant experts are hired to score the attributes and project risks. Then, the evaluation is discretized by rough set theory. Finally, the C4.5 decision tree algorithm is applied to utilize the project information and generate the decision tree of project management optimization, find out the classification rules affecting the optimal management of engineering projects, analyze the implementation of construction projects, and give personalized tips, so as to achieve effective control and optimization of enterprise engineering projects.

Details

Title
Research on Construction Engineering Project Management Optimization Based on C4.5 Improved Algorithm
Author
Zhong, Yawen 1 

 School of Civil Engineering & Architecture, Southwest Petroleum University, Sichuan, 637000, China 
Publication year
2019
Publication date
Nov 2019
Publisher
IOP Publishing
ISSN
17578981
e-ISSN
1757899X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2561502845
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.