本文關鍵詞： 數(shù)據挖掘 營運資金 應用平臺 決策樹 C4.5算法　出處：《湖南大學》2013年碩士論文　論文類型：學位論文

【摘要】：隨著信息技術的快速發(fā)展，為了實現(xiàn)數(shù)據的錄入、查詢、統(tǒng)計等各項功能，提高工作效率，我國的大部分行業(yè)基本上都構建了數(shù)以億計的數(shù)據庫。特別是建筑業(yè)市場競爭的日益加劇，傳統(tǒng)的管理方法對現(xiàn)代化建筑企業(yè)的基本要求已經越來越不適應，用更高的信息技術作為支撐是建筑工程管理的發(fā)展趨勢。建筑企業(yè)中營運資金的管理是很重要的，因為建筑企業(yè)是典型的資金密集型行業(yè)，投資大、回收期長。隨著經濟全球化的逐步深化，各企業(yè)必須加快對營運資金管理信息化的步伐。將數(shù)據挖掘技術應用于建筑業(yè)的信息化建設中，，處理海量的管理數(shù)據和企業(yè)數(shù)據，得到可用于市場監(jiān)管和企業(yè)管理的信息，為管理者決策提供一定支持，勢在必行。 本文通過全面收集數(shù)據挖掘、營運資金管理以及建筑企業(yè)信息化等文獻資料，并進行述評，為研究數(shù)據挖掘在建筑企業(yè)營運資金管理中的應用研究奠定基礎。本文著眼于通過數(shù)據挖掘技術對實現(xiàn)建筑企業(yè)營運資金管理問題進行探討。本文首先對數(shù)據挖掘、分類算法以及營運資金的相關理論進行了論述。接下來介紹了建筑企業(yè)營運資金數(shù)據挖掘模型與方法。其次本文構建了數(shù)據挖掘營運資金應用平臺，文中論述了數(shù)據挖掘營運資金應用平臺的三層體系結構，并對各層的主要功能進行了詳細的闡述。在三層架構的基礎之上，本文對數(shù)據挖掘營運資金應用平臺構建的具體實施過程及各層的功能設計進行了深入的研究，并提出了從數(shù)據整理、清洗、商業(yè)邏輯模式定義、數(shù)據模型訓練和結果展示等數(shù)據挖掘過程的具體實現(xiàn)方法。最后，本文通過數(shù)據挖掘營運資金應用平臺在建筑企業(yè)中的具體應用實施，使用C4.5決策樹算法生成決策樹，由決策樹產生分類規(guī)則。通過研究尋找其中有價值的關系和規(guī)律，對建筑企業(yè)的營運資金進行分類、企業(yè)的監(jiān)督管理等實際工作能夠起到輔助作用，并且提供一定的決策支持。
[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.
【學位授予單位】：湖南大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F275;F426.92;TP311.13

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本文編號：1465450