The thesis also standardizes the tax data using xml , which makes a big step forward in the data standardization of our tax system 文中還利用xml對(duì)申報(bào)數(shù)據(jù)進(jìn)行標(biāo)準(zhǔn)化,為我國(guó)稅務(wù)行業(yè)的數(shù)據(jù)標(biāo)準(zhǔn)化跨出一大步。
Data standardization is the key to realize the model . to make data standard , that different data form drive different methods structure data driver scheme 模型實(shí)現(xiàn)的關(guān)鍵是數(shù)據(jù)的規(guī)范化,把數(shù)據(jù)規(guī)范到一種標(biāo)準(zhǔn)形式,由不同形式的數(shù)據(jù),驅(qū)動(dòng)不同的方法,從而形成數(shù)據(jù)驅(qū)動(dòng)式結(jié)構(gòu)。
After introducing data transmission direction and location , data standardization is discussed by integrate data transmission among different systems . function and application of step , edi and hgml are analyzed 首先介紹了虛擬企業(yè)內(nèi)數(shù)據(jù)流動(dòng)的方向及地點(diǎn),然后結(jié)合異構(gòu)系統(tǒng)間數(shù)據(jù)傳輸問(wèn)題討論了數(shù)據(jù)標(biāo)準(zhǔn)化技術(shù),分別講述了step 、 edi和hgml的功能及應(yīng)用。
In this paper we generalize the common data extracting methods into integration , conversion , clean and sum up , and bring forward data optimizing , such as data smoothness , data standardization and so on , in order to support data mining more effectively 本文分析了形形色色的數(shù)據(jù)析取方法,將其歸納為集成、轉(zhuǎn)換、清潔,并提出有必要對(duì)數(shù)據(jù)進(jìn)行優(yōu)化,如數(shù)據(jù)平滑、規(guī)范化等,以期更好地支持?jǐn)?shù)據(jù)挖掘。
From 1960s on , it has made great progress all over the world , not only on its system theory , but also on its research method and applications . with the development of related technologies and the need of practical applications , the prospect of gis is data standardization , data multidimensional , system integration , system intellectualization , platform network and application socialization 自六十年代以來(lái),它在全球范圍內(nèi)取得了很大的進(jìn)步,無(wú)論在系統(tǒng)理論、研究方法還是在應(yīng)用系統(tǒng)等方面都有著長(zhǎng)足的發(fā)展,隨著相關(guān)技術(shù)的發(fā)展和實(shí)際應(yīng)用的需要,地理信息系統(tǒng)將向著數(shù)據(jù)標(biāo)準(zhǔn)化,數(shù)據(jù)多維化,系統(tǒng)集成化,系統(tǒng)智能化,平臺(tái)網(wǎng)絡(luò)化,應(yīng)用社會(huì)化的方向發(fā)展。
The paper deals with the following tasks : 1 . research on enrollment data standardization ; 2 . analysis on model and needs as regard to enrollment data processing and analysis system , research of structure of software system ; 3 . development on data processing and analysis ; processing of enrollment data from all the provinces ; statistics and analysis of all the data ; 4 . development on on - spot enrollment system ; 5 . development on research system 本文所作的主要工作如下: ( 1 )研究招生錄取數(shù)據(jù)的標(biāo)準(zhǔn)化問(wèn)題; ( 2 )采用uml統(tǒng)一建模語(yǔ)言對(duì)招生錄取數(shù)據(jù)處理和分析系統(tǒng)進(jìn)行系統(tǒng)業(yè)務(wù)建模和需求分析,對(duì)系統(tǒng)的軟件體系結(jié)構(gòu)進(jìn)行研究; ( 3 )研發(fā)了招生錄取數(shù)據(jù)處理和分析系統(tǒng),處理各省市錄取數(shù)據(jù),對(duì)錄取數(shù)據(jù)進(jìn)行分析統(tǒng)計(jì); ( 4 )研發(fā)了招生錄取現(xiàn)場(chǎng)系統(tǒng); ( 5 )研發(fā)了錄取結(jié)果查詢(xún)系統(tǒng)。
Through analyzing the current status of forest resources foundation geographical data in fujian province , the data error sources was analyzed , and key technologies , such as the data standardization , the data reorganization , the error correction , the vector precision rectification , the process of date format unification and transformation , were discussed 通過(guò)解析福建省森林資源基礎(chǔ)地理數(shù)據(jù)的現(xiàn)狀,分析了數(shù)據(jù)誤差來(lái)源,探討數(shù)據(jù)標(biāo)準(zhǔn)化、數(shù)據(jù)整改、誤差處理、矢量精度修正、格式統(tǒng)一及轉(zhuǎn)換等過(guò)程的關(guān)鍵技術(shù)。