數據預處理 的英文怎麼說

中文拼音 [shǔjùyùchǔlǐ]
數據預處理 英文
data pre processing
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 處 : 處名詞1 （地方） place 2 （方面; 某一點） part; point 3 （機關或機關里一個部門） department; offi...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 數據 : data; record; information
  1. This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize

    本文從系統工程進行決策分析的角度出發，藉助數據挖掘技術中粗糙集的基本理論，在智能決策框架的指導下，研究了基於數據挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取；在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法；分析了帶有優先權屬性的粗糙集數據挖掘方法；以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法；研究了粗糙集數據預處理方法。
  2. Preprocessing of phi - 3 hyperspectral data

    3高光譜數據預處理
  3. It is the region geochemistry pretreatment to pretreat the originality data and to analyze the background and correlation filed and statistics data

    區域化探資料處理主要是進行數據預處理、背景分析、相關場分析、多元統計分析等。
  4. Aiming at the stock market data ( smd ) increasing infinitely, being short, noised seriously, three algorithms are presented to pretreat smd. they do n ' t reduce the useful information but also eliminate the noise ; 2

    基於股市數據無限增長及我國股市數據的時間序列不長、噪聲水平較高，提出三種股市數據預處理演算法，在降低噪聲水平的同時又不損失長程相關的有用信息； 2
  5. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  6. Data pre - processing based on rough set theory

    基於粗糙集理論的數據預處理
  7. To deal with the question that how we can guarantee the dna sequences which are stored in the personal dna database are anonymous, that no one can find out whom a special dna sequence is collected from, this paper get a new method ? savior, by improve dnala ( dna lattice anonymization ), which is a method settling this question. savior replaces the multiple alignment in dnala with pairwise alignment between every tow sequences, and replaces the greedy algorithm in dnala with stochastic hill - climbing. for doing this, it can save the time for data pretreatment, and add the precision of classing

    針對個人dna數據的隱私保護問題，即:如何保證無法將存儲在數據庫中的dna序列信息與其提供者的個人身份信息（如:姓名，身份證號碼等）聯系起來，本文對一種新近開發的隱私保護方法? dnala （ dnalatticeanonymization ）進行了改進，在數據預處理階段，用兩兩雙序列比對代替了原演算法中的多序列比對，在不降低處理精度的情況下減少了數據預處理所耗費的時間;用隨機爬山法代替了原演算法中的貪心策略，增加了演算法後期處理的精度，從而形成了一種新的演算法? savior 。
  8. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  9. 5. using the distributing characterization of data, a kind of data pre - process model with autocephaly field is put forward

    5 .利用數據的分佈特徵，提出了一種改進的領域獨立的數據預處理模型。
  10. Besides, relativity analyses is introduced in the process of data pretreatment in this thesis, thereby canceled the disrelated attribute of data mining assignment, reduced lots of data sets and improves the accuracy and efficiency of rules mined

    將相關性分析引入數據預處理過程，從而去除與挖掘任務不相關的屬性，減少了數據集，提高了挖掘規則精度。
  11. A kind of two - step neural network based on the improved fuzzy hamming net is proposed. and an intelligent fault detecting system of the robot based on this network is established in this paper. an experiment of the foot ' s lifting - and - dropping system of the robot is done

    建立了基於vc的壁面機器人的智能故障診斷系統，並進行了對壁面機器人系統的故障診斷實驗，完成了從數據採集、數據預處理、神經網路訓練到系統的故障診斷等一系列實驗過程。
  12. The simulation on synthetic data is made and the result is discussed. 5 ) by using borland c + + builder and matlab, a semi system, i _ miner, is developed to mine association rule. it can realize other functions just as data cleaning, data transform, etc. furthermore, i _ miner is applied to an actual industry database

    提出用趨勢變換序列dtw距離做篩選的搜索方法，有效提高整個搜索效率，並在模擬數據庫上進行模擬實驗，並對實驗結果進行分析和討論； 5 ）以borlandc + + builder和matlab為開發平臺，設計一個進行關聯規則挖掘的準系統i _ miner ，可以實現數據預處理，數據變換和關聯規則挖掘等工作。
  13. The article briefly introduces five basic functions of the calculation software of traditional medicine fingerprint similarity of zhejiang university. 1 input the data. 2 deal with data in advance and compare chromatogram fingerprints. 3 retention time to indentify and math the peaks automatically. 4 the calculation of chromatogram fingerprint similarity. 5 output the result and print it. the software used to calculate the similarity of chromatogram fingerprint is easy to learn

    摘要系統地介紹浙大中藥指紋圖譜相似度計算軟體五個基本功能： 1數據導入， 2數據預處理和色譜圖的縮放比較， 3保留時間校正和譜峰自動匹配， 4指紋圖譜相似度計算， 5結果輸出和報表列印。
  14. Author also discusses how to improve the generalization of neural network. the two methods for improving generalization, " regularization " and " early stopping " are presented. the data preprocessing techniques, which can improve the efficiency of network training, are also discussed

    論述了bp神經網路在應用中的問題，包括提高神經網路的泛化能力的兩種方法：規則化方法和訓練早期停止方法，以及各種數據預處理方法和神經網路的拓撲結構的確定問題等。
  15. The mission of computer is to limit the defect error, suppress the accidental error and minimizes the influence of these errors to the inversion result

    數據預處理的任務就是，限制「過失誤差」和壓制「偶然誤差」對反演結果的影響。
  16. In the module of 3d visualization, the flow of volume rendering is given : pretreatment of volume data - > data sorting - > illumination procession - > volume rendering

    對於三維可視化模塊，詳細闡述了其實現流程：體數據預處理數據分類光照模型、明暗處理各種剖分方式繪制圖象。
  17. Then, harmonic analysis is done with the newest baytap - g tidal data analyzing software developed by ishiguro and professor tamura, who are working in japan and the eterna34 tidal data analyzing software developed by wenzel, who had worked in german. as a result, the recently observed tidal gravity parameters of jiufeng station are obtained. finally, the ocean loading correction of the observing tidal gravimetric parameters, the temporal synthesized tide, correction of the station air pressure and the polar motion on the gravity residual, the analysis of the final residual, and so on, are investigated

    Vauterin研製的tsoft潮汐數據預處理軟體，實施了觀測數據的預處理，為超導重力儀觀測數據的國際資料交換和數據分析準備了修正後數據；然後利用由日本ishiguro與tamura研製的最新的baytap - g和由德國的wenzel研製的eterna34潮汐分析軟體，對預處理后的重力潮汐觀測數據進行調和分析，獲得了九峰臺最近的觀測重力潮汐參數；最後討論了觀測潮汐參數的海潮改正、隨時間變化的重力合成潮的構制、大氣效應改正、極移重力改正以及最終重力殘差的分析。
  18. Third, mensurated the front axle ' s load - time history when truck was running on general tar - paved roads, mountainous roads and the proving ground enhancement roads, second sampled and pretreated to the load - time history with rpc software of mts corporation, acquired the relationship of the frequence of the mean and amplitude load, obtained the zero mean equivalent loads using goodman experiential fatigue equation, acquired the weibull distributing functions of equivalent loads of respective roads

    第三，測定了汽車前橋在一般瀝青公路、山區公路和試驗場強化試驗路面的載荷時間歷程。對載荷時間歷程進行了二次采樣和數據預處理。採用雨流計數法得到了各路面的載荷均、幅值的頻次關系，並根據goodman經驗疲勞公式，得到了零均值的等效載荷及相應的頻次。
  19. In the light of field features in desertification areas, the data quality and band combination of different bands are assessed, the indicators, principles and methods for data assessment and band option are put forward to, and optional band combination for desertification monitoring is determined primarily. the data pre - treatment model for desertification monitoring is developed after studying the pre - treatment algorithm of restoration and rebuilding of hyperspectral resolution data. the spectral features and variation rules of different objects in experimental areas are understood and analyzed

    針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行定性和定量的評價，提出用於數據評價、波段選擇的指標、原則和方法；初步確定一個適用於荒漠化監測的優化波段組合，建立適合於荒漠化監測的數據預處理模式；初步分析、掌握研究區內各類地物的光譜特性及變異規律；針對荒漠化地區特點對多種分類方法進行探討分析；建立荒漠化監測主要評價因子的定量反演模型。
  20. In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples

    針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。
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