The first chapter in this paper provides a survey of data mining technology , and explains basic concepts , function and the whole framework of data mining and difficulties in developing and some future directions in association rule generation ; the second chapter introduce the basic concepts , brings forward a classification of association rule ; the third chapter give a deep research on algorithms of every kind of association rule , include mining single - dimensional signal - level association rule and multidimensional multilevel association rule , it describes these algorithm , point out some method to optimize this algorithm and test its quality with experiments ; the fourth and fifth chapter introduce the designs about association rule mining system basing on relation database visual foxpro in detail : according to system frame of the association rule mining , actualize a new mining algorithms and analyses every function module of program , at last further analyses the left problems in designs 本論文第一部分對數(shù)據(jù)挖掘技術(shù)進(jìn)行了總體介紹,說明了基本概念、功能和系統(tǒng)總體框圖以及發(fā)展中的難點(diǎn)和研究方面;第二章對關(guān)聯(lián)規(guī)則基本概念的進(jìn)行了介紹,提出了關(guān)聯(lián)規(guī)則的分類方法;第三章探討了挖掘各種關(guān)聯(lián)規(guī)則的算法,從挖掘單維單層布爾關(guān)規(guī)則的經(jīng)典的apriori開始,分析了挖掘單維、多層關(guān)聯(lián)規(guī)則的算法,多維關(guān)聯(lián)規(guī)則的算法到多維多值屬性關(guān)聯(lián)規(guī)則的算法。文中提出算法優(yōu)化方法,并對其性能進(jìn)行了實(shí)驗(yàn)測試;第四部分、第五部分詳細(xì)介紹了基于關(guān)系型數(shù)據(jù)庫的關(guān)聯(lián)規(guī)則挖掘系統(tǒng)的設(shè)計(jì)構(gòu)思,根據(jù)關(guān)聯(lián)規(guī)則挖掘系統(tǒng)結(jié)構(gòu)框架,實(shí)現(xiàn)了基于visualfoxpro的關(guān)聯(lián)規(guī)則挖掘系統(tǒng),其于采用了一個(gè)新型的基于關(guān)系數(shù)據(jù)庫的關(guān)聯(lián)規(guī)則挖掘算法,提高了挖掘效率,并詳細(xì)分析了程序設(shè)計(jì)的各個(gè)功能模塊,最后就設(shè)計(jì)中遺留的問題進(jìn)行了進(jìn)一步的分析。