Project Cost Management Information Solution Based on Data Mining Technology

Zeyang Li, Ling Liu
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Abstract

With the rapid development of new technology in China, the combination of new technology and project management can improve the overall quality level of project cost as a whole. China’s engineering cost industry has been severely challenged, and the previous management methods have been difficult to meet the requirements of the times. The superiority of data mining technology based on statistical analysis is becoming more and more obvious. Data mining is a new and promising field gradually formed as the application research of database and data warehouse. The project cost management department needs to record more and more project cost data, which requires the introduction of data mining based on statistical analysis. Data mining realizes the functions of establishing database, data purification, data query and sharing, analysis and early warning in project cost management. In practical application, data screening can also be carried out by selecting factors such as project unilateral cost index, cost reduction rate, completion settlement price, project structure form and so on. This paper focuses on its application advantages in project cost management.
基于数据挖掘技术的工程造价管理信息解决方案
随着新技术在中国的快速发展,将新技术与项目管理相结合,可以从整体上提高工程造价的整体质量水平。中国的工程造价行业受到了严峻的挑战,以往的管理方式已经难以满足时代的要求。基于统计分析的数据挖掘技术的优越性越来越明显。数据挖掘是随着数据库和数据仓库的应用研究而逐渐形成的一个新兴领域。工程造价管理部门需要记录越来越多的工程造价数据,这就需要引入基于统计分析的数据挖掘。数据挖掘在工程造价管理中实现了建立数据库、数据净化、数据查询共享、分析预警等功能。在实际应用中,还可以通过选择项目单方成本指标、成本降低率、竣工结算价格、项目结构形式等因素进行数据筛选。本文着重论述了其在工程造价管理中的应用优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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