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

【摘要】：進入二十世紀80年代后,計算機技術(shù)得到了迅猛發(fā)展,在保險行業(yè)中開始出現(xiàn)業(yè)務計算機系統(tǒng),隨著保險公司的業(yè)務系統(tǒng)日趨完善,數(shù)據(jù)交換和處理中心的建立,如何滿足保險行業(yè)日益增長的各種查詢、統(tǒng)計、報表以及分析和預測的需求;如何提高防范和化解經(jīng)營風險的能力,從而在激烈的競爭中贏得先機是保險企業(yè)在信息技術(shù)應用上的首要難題。由于保險行業(yè)往往涉及到大量的財務問題,具有一定的重要性與復雜性,因此對于開發(fā)保險業(yè)數(shù)據(jù)信息具有較為重要的價值與廣闊的應用空間。本文主要以財產(chǎn)保險數(shù)據(jù)挖掘系統(tǒng)的分析、設(shè)計為主,通過對相關(guān)數(shù)據(jù)挖掘方法的對比分析,選擇關(guān)聯(lián)規(guī)則數(shù)據(jù)挖掘作為基礎(chǔ),在對相關(guān)數(shù)據(jù)挖掘方法的對比研究后,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)驗導向數(shù)據(jù)挖掘方法實現(xiàn)基于財產(chǎn)保險分析的數(shù)據(jù)挖掘,針對財產(chǎn)保險的具體數(shù)據(jù)情況和增量挖掘算法特點制定了算法的實現(xiàn)機制,設(shè)計實現(xiàn)了財產(chǎn)保險分析系統(tǒng)。通過選擇財產(chǎn)保險承保與理賠這一塊業(yè)務的相關(guān)風險數(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算法對采集到的數(shù)據(jù)來進行數(shù)據(jù)分析,得到其優(yōu)劣性與規(guī)則內(nèi)容。經(jīng)過測試后表明,系統(tǒng)運行穩(wěn)定,具備高安全性和高擴展性。
[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.
【學位授予單位】：河北科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F842;TP311.13

【參考文獻】

相關(guān)碩士學位論文 前1條

1 程瑞芬;基于數(shù)據(jù)挖掘的保險業(yè)客戶識別與開發(fā)研究[D];河南工業(yè)大學;2013年

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本文編號：1751063