data preprocessing中文是什么意思

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中文翻譯
造句

數(shù)據(jù)預(yù)處理

data n. 1.資料，材料〔此詞系 datum 的復(fù)數(shù)。但 d ...
data acquisition and preprocessing 數(shù)據(jù)采集和預(yù)處理
seismic data preprocessing 地震數(shù)據(jù)預(yù)處理
preprocessing 預(yù)處理; 預(yù)加工
digital preprocessing 數(shù)字預(yù)處理
image preprocessing 圖像預(yù)處理
intelligent preprocessing 智能預(yù)處理
linear preprocessing 線性預(yù)處理
preprocessing aid 預(yù)操作助劑
preprocessing directive 前置處理器指示詞
preprocessing expressions 預(yù)處理表達(dá)式
preprocessing program 預(yù)處理程序
preprocessing subprogram 預(yù)處理子程序
preprocessing unit 預(yù)處理機(jī); 預(yù)處理器
table preprocessing 表預(yù)處理
field preprocessing system 野外預(yù)處理系統(tǒng)
image preprocessing system 圖像預(yù)處理系統(tǒng)
preprocessing high-speed memory 預(yù)處理高速存儲(chǔ)器
seismic preprocessing system 地震預(yù)處理系統(tǒng)
data n. 1.資料，材料〔此詞系 datum 的復(fù)數(shù)。但 datum 罕用，一般即以 data 作為集合詞，在口語(yǔ)中往往用單數(shù)動(dòng)詞；如系指一件資料，則說(shuō)作 this data〕。 2.〔美國(guó)〕(觀察所得的)事實(shí)，知識(shí)。 a data book 參考資料書。 gather data on ...收集…的資料[數(shù)據(jù)]。 The data is not enough to be convincing. 資料不足，尚難令人信服。
data in 輸入數(shù)據(jù); 數(shù)據(jù)輸入
data-in 記入數(shù)據(jù); 輸入數(shù)據(jù); 輸入諸元; 數(shù)據(jù)輸入
for data 循環(huán)數(shù)據(jù)
no data 無(wú)數(shù)據(jù)
on data 昂達(dá)

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In this paper , we firstly present the whole framework of the system , including the introduction of the main functional module . next , in the part of data preprocessing , we design a method of collecting click - stream data in the application server layer and preprocessing them with real time ; in the part of data mining that is data analyzing , we research and implement an extended attribute - oriented induction algorithm which applies to data generalization analysis , and that , we also design and implement an hybrid - dimensional association rule mining algorithm for associative analysis . in the end , on the e - business web site system of jiangsu changjiang electronic group corp , we design and implement an intelligent dss ( idss ) with the help of the above algorithms
論文首先給出了系統(tǒng)的整體框架體系結(jié)構(gòu)設(shè)計(jì)，以及主要的功能模塊介紹；接著，在數(shù)據(jù)預(yù)處理部分，設(shè)計(jì)了在應(yīng)用層收集點(diǎn)擊流數(shù)據(jù)并且對(duì)其進(jìn)行實(shí)時(shí)預(yù)處理的方法；在數(shù)據(jù)挖掘即數(shù)據(jù)分析部分，研究與實(shí)現(xiàn)了用于數(shù)據(jù)概化分析的面向?qū)傩砸?guī)約的擴(kuò)展算法，以及設(shè)計(jì)并實(shí)現(xiàn)了用于關(guān)連分析的混合維關(guān)聯(lián)規(guī)則挖掘算法；最后，在江蘇長(zhǎng)江電氣集團(tuán)的電子商務(wù)網(wǎng)站系統(tǒng)上，利用已分析的算法設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)智能決策支持系統(tǒng)。
Then , a prototype system of this model has been implemented based on network monitoring and data mining . in this prototype many basic functions have been accomplished such as raw data capturing , behavior data preprocessing , mode definition , mode mining , mode maintenance and mode contrast . finally , this paper have researched mode update and anomaly identification tentatively and given some farther suggestions of improvement
論文中對(duì)該模型進(jìn)行了整體規(guī)劃和詳細(xì)設(shè)計(jì),并利用網(wǎng)絡(luò)監(jiān)聽和數(shù)據(jù)挖掘等技術(shù)實(shí)現(xiàn)了一個(gè)網(wǎng)絡(luò)訪問(wèn)行為分析的原型系統(tǒng),完成了用戶訪問(wèn)行為原始流量的捕獲,行為數(shù)據(jù)預(yù)處理,行為模式的定義、挖掘、維護(hù)以及當(dāng)前行為與歷史行為模式比對(duì)等基本功能,并對(duì)模式更新、異常識(shí)別等方面進(jìn)行了嘗試性研究,提出了進(jìn)一步完善模型的若干設(shè)想。
This essay first dicussed the key steps of preprocessing in web log mining , which include data abstract , data cleaning , user and session identification and path completion etc . especialy we proposed the algorithm of the web log data preprocessing include frame page . and secondly we discussed the technology of building an adaptive web site , include log data cluster mining , user visiting pattern learning , site structure transformation and presentation etc . ; and we proposed indual user log visiting pattern , user model onling learning algorithm , index pages synthesising algorithm , site structure transformation and presentation algorithm and so on
本論文首先討論了web日志挖掘預(yù)處理中的各步驟：數(shù)據(jù)抽象、數(shù)據(jù)清洗、用戶與會(huì)話識(shí)別、訪問(wèn)路徑補(bǔ)全，給出了每一步驟的算法實(shí)現(xiàn)；并特別討論了含有frame頁(yè)的日志數(shù)據(jù)預(yù)處理過(guò)濾算法。其次討論了構(gòu)建自適應(yīng)站點(diǎn)技術(shù)，包括日志數(shù)據(jù)聚類挖掘、用戶訪問(wèn)模式學(xué)習(xí)、站點(diǎn)結(jié)構(gòu)轉(zhuǎn)化與呈現(xiàn)等；提出了單用戶日志訪問(wèn)模型，給出了用戶模型在線學(xué)習(xí)算法、索引頁(yè)面綜合算法、站點(diǎn)結(jié)構(gòu)轉(zhuǎn)化及呈現(xiàn)算法等。
The research results include the follows : present some rules for selecting measuring method according to the characteristics of product , study some problems in data preprocessing such as noise removing , probe radius compensation , edge data extracting , sun - regions merging , and local data mending or re - sampling etc . to ensure the part cad models being built and assembled accurately at dimension and shape in re modeling application , three kinds of model modifying techniques are presented such as model - based modifying , drawing - based modifying and physical model - based modifying
這些問(wèn)題包括：根據(jù)產(chǎn)品表面形狀及建模方法，提出了一些選擇測(cè)量方法的原則；研究了消除測(cè)量數(shù)據(jù)噪聲信號(hào)、 cmm測(cè)頭半徑補(bǔ)償、測(cè)量數(shù)據(jù)邊界處理、測(cè)量數(shù)據(jù)塊拼合、數(shù)據(jù)補(bǔ)缺與補(bǔ)測(cè)等測(cè)量數(shù)據(jù)預(yù)處理問(wèn)題。為了解決復(fù)雜外形產(chǎn)品re建模經(jīng)常遇到的零件cad模型配合問(wèn)題與尺寸精度、形狀精度問(wèn)題，作者研究了基于cad模型的修正、基于零件圖樣的修正、基于物理模型的修正等三種模型修正技術(shù)。

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