本文選題：基金定投 + 數(shù)據(jù)挖掘��； 參考：《大連海事大學(xué)》2013年碩士論文

【摘要】：基金作為一種金融產(chǎn)品,已經(jīng)成為人們投資中重要組成部分,根據(jù)人們的投資目標(biāo)差異,基金分為多種類型,不同類型所具有的風(fēng)險(xiǎn)與收益也不盡相同。 本文針對(duì)基金產(chǎn)品中基金定投業(yè)務(wù)進(jìn)行數(shù)據(jù)分析,論述基金定投業(yè)務(wù)的特點(diǎn),研究在基金定投業(yè)務(wù)中客戶相關(guān)信息的關(guān)鍵因素,分析其在實(shí)際商業(yè)決策中的指導(dǎo)意義。本文采用數(shù)據(jù)挖掘方法進(jìn)行客戶分析。數(shù)據(jù)挖掘作為新時(shí)期重要的數(shù)據(jù)分析手段,提供了很多行之有效的數(shù)據(jù)分析方法,在客戶分析中發(fā)揮出了重要的作用。本文針對(duì)數(shù)據(jù)挖掘的幾種主要的分析方法進(jìn)行論述,并比較它們之間的特點(diǎn)和差異。根據(jù)實(shí)際需要,本文采用決策樹算法對(duì)基金客戶與基金定投產(chǎn)品的相關(guān)因素進(jìn)行數(shù)據(jù)分析。決策樹算法是經(jīng)典的數(shù)據(jù)挖掘方法之一,本文對(duì)決策樹法的生成過(guò)程及在數(shù)據(jù)分析中的使用方法做了較為全面的論述。結(jié)合公司的案例,針對(duì)基金行業(yè)中不同基金客戶對(duì)基金定投有著不同選擇的情形,通過(guò)收集整理基金客戶的不同行為因素,運(yùn)用決策樹方法對(duì)其在基金定投產(chǎn)品的選擇中的影響進(jìn)行分析研究�；鹂蛻舻男袨閷傩杂泻芏喾N,本案例中選取了其中最重要的且與基金定投業(yè)務(wù)相關(guān)聯(lián)的幾種屬性進(jìn)行分析,如確定基金客戶的投資目標(biāo)和需要、收入和資產(chǎn)等。通過(guò)對(duì)基金客戶歷史數(shù)據(jù)的收集與分析,運(yùn)用決策樹算法分析并生成關(guān)聯(lián)規(guī)則,最終形成對(duì)基金定投產(chǎn)品策劃和營(yíng)銷具有指導(dǎo)意義的決策。
[Abstract]:As a kind of financial product, fund has become an important part of people's investment. According to the difference of people's investment goal, the fund can be divided into many types, and the risks and returns of different types are also different. Based on the data analysis of fixed investment business in fund products, this paper discusses the characteristics of fund fixed investment business, studies the key factors of customer related information in fund fixed investment business, and analyzes its guiding significance in the actual business decision. In this paper, data mining method is used for customer analysis. As an important means of data analysis in the new era, data mining provides many effective data analysis methods and plays an important role in customer analysis. In this paper, several main analysis methods of data mining are discussed, and their characteristics and differences are compared. According to the actual needs, this paper uses the decision tree algorithm to analyze the relevant factors between the fund customers and the fixed investment products. Decision tree algorithm is one of the classical data mining methods. In this paper, the generation process of decision tree method and its application in data analysis are discussed in detail. Combined with the case of the company, in view of the different fund clients in the fund industry have different choices to the fund investment, through collecting and sorting out the different behavior factors of the fund clients, The decision tree method is used to analyze the influence of decision tree on the selection of fixed investment products. There are many kinds of behavioral attributes of fund clients. In this case, the most important attributes associated with the fixed investment business are selected for analysis, such as determining the investment objectives and needs of fund clients, income and assets, and so on. Through the collection and analysis of the historical data of the fund clients, the association rules are analyzed and generated by using the decision tree algorithm. Finally, a decision with guiding significance for the planning and marketing of the fixed investment products of the fund is formed.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F274;F832.39;F224

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