本文選題：數(shù)據(jù)挖掘 + 財(cái)產(chǎn)保險(xiǎn)��； 參考：《河北科技大學(xué)》2014年碩士論文

【摘要】：進(jìn)入二十世紀(jì)80年代后,計(jì)算機(jī)技術(shù)得到了迅猛發(fā)展,在保險(xiǎn)行業(yè)中開(kāi)始出現(xiàn)業(yè)務(wù)計(jì)算機(jī)系統(tǒng),隨著保險(xiǎn)公司的業(yè)務(wù)系統(tǒng)日趨完善,數(shù)據(jù)交換和處理中心的建立,如何滿足保險(xiǎn)行業(yè)日益增長(zhǎng)的各種查詢、統(tǒng)計(jì)、報(bào)表以及分析和預(yù)測(cè)的需求;如何提高防范和化解經(jīng)營(yíng)風(fēng)險(xiǎn)的能力,從而在激烈的競(jìng)爭(zhēng)中贏得先機(jī)是保險(xiǎn)企業(yè)在信息技術(shù)應(yīng)用上的首要難題。由于保險(xiǎn)行業(yè)往往涉及到大量的財(cái)務(wù)問(wèn)題,具有一定的重要性與復(fù)雜性,因此對(duì)于開(kāi)發(fā)保險(xiǎn)業(yè)數(shù)據(jù)信息具有較為重要的價(jià)值與廣闊的應(yīng)用空間。本文主要以財(cái)產(chǎn)保險(xiǎn)數(shù)據(jù)挖掘系統(tǒng)的分析、設(shè)計(jì)為主,通過(guò)對(duì)相關(guān)數(shù)據(jù)挖掘方法的對(duì)比分析,選擇關(guān)聯(lián)規(guī)則數(shù)據(jù)挖掘作為基礎(chǔ),在對(duì)相關(guān)數(shù)據(jù)挖掘方法的對(duì)比研究后,選擇關(guān)聯(lián)規(guī)則算法中的增量挖掘算法并結(jié)合經(jīng)驗(yàn)導(dǎo)向數(shù)據(jù)挖掘方法實(shí)現(xiàn)基于財(cái)產(chǎn)保險(xiǎn)分析的數(shù)據(jù)挖掘,針對(duì)財(cái)產(chǎn)保險(xiǎn)的具體數(shù)據(jù)情況和增量挖掘算法特點(diǎn)制定了算法的實(shí)現(xiàn)機(jī)制,設(shè)計(jì)實(shí)現(xiàn)了財(cái)產(chǎn)保險(xiǎn)分析系統(tǒng)。通過(guò)選擇財(cái)產(chǎn)保險(xiǎn)承保與理賠這一塊業(yè)務(wù)的相關(guān)風(fēng)險(xiǎn)數(shù)據(jù)作為系統(tǒng)數(shù)據(jù)挖掘的數(shù)據(jù)集內(nèi)容,文中采用關(guān)聯(lián)算法中的FP_growth算法對(duì)采集到的數(shù)據(jù)來(lái)進(jìn)行數(shù)據(jù)分析,得到其優(yōu)劣性與規(guī)則內(nèi)容。經(jīng)過(guò)測(cè)試后表明,系統(tǒng)運(yùn)行穩(wěn)定,具備高安全性和高擴(kuò)展性。
[Abstract]:After entering the 1980s, the computer technology has developed rapidly, and the business computer system has begun to appear in the insurance industry. As the business system of the insurance company becomes more and more perfect, the data exchange and processing center is established.How to meet the increasing demand of inquiry, statistics, report, analysis and forecast in the insurance industry, how to improve the ability to prevent and resolve business risks,Thus winning the first chance in the fierce competition is the primary problem in the application of information technology in insurance enterprises.Because insurance industry often involves a large number of financial problems, it has certain importance and complexity, so it has more important value and broad application space for the development of insurance industry data information.Based on the analysis and design of property insurance data mining system, this paper chooses association rule data mining as the basis through the comparative analysis of relevant data mining methods, after the comparative study of relevant data mining methods,Choosing incremental mining algorithm of association rules algorithm and combining with experience-oriented data mining method to realize data mining based on property insurance analysis.According to the specific data situation of property insurance and the characteristics of incremental mining algorithm, the realization mechanism of the algorithm is established, and the property insurance analysis system is designed and implemented.Through selecting the risk data of property insurance insurance and claim settlement as the data set content of the system data mining, this paper uses the FP_growth algorithm in the association algorithm to analyze the collected data.Get its advantages and disadvantages and the content of the rules.The test results show that the system runs stably with high security and expansibility.
【學(xué)位授予單位】：河北科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F842;TP311.13

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 程瑞芬;基于數(shù)據(jù)挖掘的保險(xiǎn)業(yè)客戶識(shí)別與開(kāi)發(fā)研究[D];河南工業(yè)大學(xué);2013年

，

本文編號(hào)：1751063