数据挖掘在建筑企业营运资金管理中的应用研究

发布时间：2018-01-26 11:11

本文关键词： 数据挖掘营运资金应用平台决策树 C4.5算法　出处：《湖南大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着信息技术的快速发展，为了实现数据的录入、查询、统计等各项功能，提高工作效率，我国的大部分行业基本上都构建了数以亿计的数据库。特别是建筑业市场竞争的日益加剧，传统的管理方法对现代化建筑企业的基本要求已经越来越不适应，用更高的信息技术作为支撑是建筑工程管理的发展趋势。建筑企业中营运资金的管理是很重要的，因为建筑企业是典型的资金密集型行业，投资大、回收期长。随着经济全球化的逐步深化，各企业必须加快对营运资金管理信息化的步伐。将数据挖掘技术应用于建筑业的信息化建设中，，处理海量的管理数据和企业数据，得到可用于市场监管和企业管理的信息，为管理者决策提供一定支持，势在必行。本文通过全面收集数据挖掘、营运资金管理以及建筑企业信息化等文献资料，并进行述评，为研究数据挖掘在建筑企业营运资金管理中的应用研究奠定基础。本文着眼于通过数据挖掘技术对实现建筑企业营运资金管理问题进行探讨。本文首先对数据挖掘、分类算法以及营运资金的相关理论进行了论述。接下来介绍了建筑企业营运资金数据挖掘模型与方法。其次本文构建了数据挖掘营运资金应用平台，文中论述了数据挖掘营运资金应用平台的三层体系结构，并对各层的主要功能进行了详细的阐述。在三层架构的基础之上，本文对数据挖掘营运资金应用平台构建的具体实施过程及各层的功能设计进行了深入的研究，并提出了从数据整理、清洗、商业逻辑模式定义、数据模型训练和结果展示等数据挖掘过程的具体实现方法。最后，本文通过数据挖掘营运资金应用平台在建筑企业中的具体应用实施，使用C4.5决策树算法生成决策树，由决策树产生分类规则。通过研究寻找其中有价值的关系和规律，对建筑企业的营运资金进行分类、企业的监督管理等实际工作能够起到辅助作用，并且提供一定的决策支持。
[Abstract]:With the rapid development of information technology, in order to achieve data input, query, statistics and other functions, improve work efficiency. Most of the industries in our country have built hundreds of millions of databases, especially in the construction industry market competition is increasing, the traditional management methods to the basic requirements of modern construction enterprises have become more and more inadequate. Using higher information technology as the support is the development trend of construction engineering management. Working capital management in construction enterprises is very important because construction enterprises are typical capital-intensive industries with large investment. The payback period is long. With the deepening of economic globalization, enterprises must speed up the pace of informatization of working capital management, and apply data mining technology to the information construction of the construction industry. It is imperative to deal with a large amount of management data and enterprise data, to obtain information that can be used in market supervision and enterprise management, and to provide some support for managers to make decisions. In this paper, through the collection of data mining, working capital management and construction enterprise information and other documents, and review. In order to study the application and research of data mining in working capital management of construction enterprises, this paper focuses on the realization of working capital management of construction enterprises through data mining technology. Dig. Classification algorithm and working capital related theory are discussed. Then the construction enterprise working capital data mining model and method are introduced. Secondly, this paper constructs the application platform of data mining working capital. This paper discusses the three-tier architecture of data mining working capital application platform, and describes the main functions of each layer in detail. In this paper, the implementation process and the function design of each layer of data mining working capital application platform are studied deeply, and the definition of data collation, cleaning and business logic mode is put forward. Data model training and results display and other data mining process specific implementation methods. Finally, this paper through the data mining working capital application platform in construction enterprises to implement the specific application. C4.5 decision tree algorithm is used to generate decision tree, and decision tree is used to generate classification rules. By studying and finding the valuable relationship and law, the working capital of construction enterprise is classified. Supervision and management of enterprises and other practical work can play an auxiliary role, and provide certain decision support.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F275;F426.92;TP311.13

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