本文選題：數(shù)據(jù)挖掘 + 關(guān)聯(lián)規(guī)則挖掘��； 參考：《浙江大學(xué)》2012年碩士論文

【摘要】：本論文的研究方向?yàn)橛?jì)算機(jī)的應(yīng)用,旨在將自動(dòng)化技術(shù)和系統(tǒng)理論等知識(shí)應(yīng)用到與實(shí)際生活相關(guān)的各種復(fù)雜系統(tǒng)中,如金融系統(tǒng),從而提高相關(guān)工作的效率和質(zhì)量,并創(chuàng)造價(jià)值。 證券市場(chǎng)是金融系統(tǒng)的主要領(lǐng)域,行業(yè)研究員在證券市場(chǎng)的發(fā)展中又起到了關(guān)鍵性的作用,所以行業(yè)研究員工作的質(zhì)量和效率時(shí)刻影響著整個(gè)金融系統(tǒng)的發(fā)展。但目前行業(yè)研究員研究工作的開(kāi)展存在著一些障礙,如基礎(chǔ)數(shù)據(jù)庫(kù)結(jié)構(gòu)混亂,更新維護(hù)困難；數(shù)據(jù)處理和分析效率低下,變動(dòng)彈性較�。粩�(shù)據(jù)挖掘知識(shí)的缺乏,難以深入分析數(shù)據(jù)等。本文深入的分析和研究了上述問(wèn)題,并基于VBA語(yǔ)言、網(wǎng)頁(yè)數(shù)據(jù)獲取技術(shù)和數(shù)據(jù)挖掘技術(shù),提出了解決這些問(wèn)題的基本思路和實(shí)現(xiàn)方法,有效的提高了行業(yè)研究員的工作效率和質(zhì)量,大幅降低了研究成本,有助于提高整個(gè)資本市場(chǎng)和金融系統(tǒng)的有效性,具有很高的商用價(jià)值。 本文首先介紹了文中會(huì)涉及到一些主要的技術(shù)方法,接著介紹了基礎(chǔ)數(shù)據(jù)庫(kù)構(gòu)建和自動(dòng)更新的方法,并根據(jù)數(shù)據(jù)來(lái)源的不同,分別就基于WEB數(shù)據(jù)獲取、基于Wind平臺(tái)以及基于彭博、TEJ等平臺(tái)的數(shù)據(jù)庫(kù)構(gòu)建和自動(dòng)更新的方法做了介紹,其中重點(diǎn)介紹了基于WEB數(shù)據(jù)獲取技術(shù)的數(shù)據(jù)庫(kù)構(gòu)建和自動(dòng)更新的實(shí)現(xiàn)方法。然后本文介紹了如何對(duì)數(shù)據(jù)庫(kù)中的數(shù)據(jù)進(jìn)行自動(dòng)化的分析和處理,如自動(dòng)化圖表法,基本數(shù)學(xué)方法和財(cái)務(wù)公式分析法。接著又介紹了如何將處理好的數(shù)據(jù)自動(dòng)生成相應(yīng)的文本報(bào)告以提高效率。最后,重點(diǎn)介紹了關(guān)聯(lián)規(guī)則挖掘技術(shù)在行業(yè)研究中的應(yīng)用,并用實(shí)驗(yàn)結(jié)果證明了本文實(shí)現(xiàn)的關(guān)聯(lián)規(guī)則挖掘算法的實(shí)用性。
[Abstract]:The research direction of this thesis is the application of computer , aiming to apply the knowledge of automation technology and system theory to all kinds of complex system related to real life , such as financial system , so as to improve the efficiency and quality of related work and to create value .

The securities market is the main field of the financial system , and the industry researcher plays a key role in the development of the securities market , so the quality and efficiency of the research work of the industry researchers affect the development of the whole financial system . However , there are some obstacles in the research work of the industry researchers , such as confusion of the base database structure and difficult updating and maintenance ;
the data processing and analysis efficiency is low and the variation elasticity is small ;
The lack of data mining knowledge , it is difficult to deeply analyze the data , etc . This paper deeply analyzes and studies the above - mentioned problems . Based on VBA language , web page data acquisition technology and data mining technology , this paper puts forward the basic idea and implementation method to solve these problems , effectively improves the working efficiency and quality of the industry researcher , greatly reduces the research cost , and helps to improve the efficiency of the whole capital market and financial system , and has high commercial value .

This paper introduces some main technical methods , then introduces the basic database construction and automatic updating method , and introduces the database construction and automatic updating method based on WEB data acquisition , wind platform and platform based on Bloomberg , TEJ , etc . It also introduces how to automatically generate the corresponding text report based on WEB data acquisition technology , and then introduces how to apply the processed data automatically to the industry research . Finally , the paper introduces the application of the association rule mining technology in industry research and proves the practicability of the association rule mining algorithm implemented in this paper .

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：TP311.13;F830.91

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 陳兵輝;數(shù)據(jù)挖掘在書(shū)號(hào)管理中的應(yīng)用與研究[D];北方工業(yè)大學(xué);2013年

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本文編號(hào)：1816150