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《DataMining：WhatisDataMining？》由會員上傳分享，免費在線閱讀，更多相關內(nèi)容在教育資源-天天文庫。
1、DataMining:WhatisDataMining?OverviewGenerally,datamining(sometimescalleddataorknowledgediscovery)istheprocessofanalyzingdatafromdifferentperspectivesandsummarizingitintousefulinformation-informationthatcanbeusedtoincreaserevenue,cutscosts,orboth.Dataminingsof
2、twareisoneofanumberofanalyticaltoolsforanalyzingdata.Itallowsuserstoanalyzedatafrommanydifferentdimensionsorangles,categorizeit,andsummarizetherelationshipsidentified.Technically,dataminingistheprocessoffindingcorrelationsorpatternsamongdozensoffieldsinlarger
3、elationaldatabases.【一般來說，數(shù)據(jù)挖掘（有時也被稱為數(shù)據(jù)或知識發(fā)現(xiàn)）是從不同的角度進行分析和總結數(shù)據(jù)轉化為有用信息的信息的過程?？梢杂脕碓黾邮杖耄档统杀?，或兩者兼而有之。數(shù)據(jù)挖掘軟件是眾多數(shù)據(jù)分析工具之一。它允許用戶分析來自許多不同的層面或角度的數(shù)據(jù)，歸類，發(fā)現(xiàn)和總結的關系。從技術上講，數(shù)據(jù)挖掘是在多個領域的大型關系數(shù)據(jù)庫中發(fā)現(xiàn)相互關系或模式的過程。】ContinuousInnovationAlthoughdataminingisarelativelynewterm,thetechnolog
4、yisnot.Companieshaveusedpowerfulcomputerstosiftthroughvolumesofsupermarketscannerdataandanalyzemarketresearchreportsforyears.However,continuousinnovationsincomputerprocessingpower,diskstorage,andstatisticalsoftwarearedramaticallyincreasingtheaccuracyofanalysi
5、swhiledrivingdownthecost.【不斷創(chuàng)新雖然數(shù)據(jù)挖掘是一個相對較新的術語，但其技術不是。公司有強大的計算機來使用，通過篩選超市掃描數(shù)據(jù)量和多年的市場分析研究報告。然而，在計算機處理能力的不斷創(chuàng)新，磁盤存儲和統(tǒng)計軟件正在顯著提高分析的準確性，同時降低了成本。】ExampleForexample,oneMidwestgrocerychainusedthedataminingcapacityofOraclesoftwaretoanalyzelocalbuyingpatterns.Theydiscov
6、eredthatwhenmenboughtdiapersonThursdaysandSaturdays,theyalsotendedtobuybeer.FurtheranalysisshowedthattheseshopperstypicallydidtheirweeklygroceryshoppingonSaturdays.OnThursdays,however,theyonlyboughtafewitems.Theretailerconcludedthattheypurchasedthebeertohavei
7、tavailablefortheupcomingweekend.Thegrocerychaincouldusethisnewlydiscoveredinformationinvariouswaystoincreaserevenue.Forexample,theycouldmovethebeerdisplayclosertothediaperdisplay.And,theycouldmakesurebeeranddiapersweresoldatfullpriceonThursdays.Data,Informati
8、on,andKnowledgeDataDataareanyfacts,numbers,ortextthatcanbeprocessedbyacomputer.Today,organizationsareaccumulatingvastandgrowingamountsofdataindifferentformatsanddifferentdatabases.Thisinc
