data preparation 中文意思是什麼

data preparation 解釋
數據準備
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  • preparation : n 1 準備，預備；〈常 pl 〉準備工作[措施]；預修，預習 （for） 預習時間；（對…的）準備。2 （藥、菜...
  1. Based on the work of dr. yang guolin, a finite element program is worked out according to the finite element theory. the data to be imputed can be generated by software super - sap93, which can simplify the work of data preparation

    For以及配套的靜力非線性程序和基頻計算程序，這些程序是以飽和砂土振動理論為基礎，結合我院楊果林博士原有的塑性動力分析程序編制而成。
  2. The proposed methods can be used as data preparation techniques to detect bad data and fill the blank with a more accuracy value in an initial series. the modeling accuracy of grey system is greatly improved by such methods

    2 、針對序列中含有空穴或不良數據的情況，將參數估計與不良數據辨識理論作為數據預處理技術應用於灰色系統建模，使得模型預測結果更為精確。
  3. The more favorable experiment conditions of preparing anatase nanometer tio2 powder are obtained from a lot of data. preparation technology of rutile nanometer tio2 powder is researched on the base of experiment of anatase nanometer tio2 powder. the influences of enclosure dose ' s quantity, preroasting temperatures phase - transition accelerant ' s quantity and calcining intensity and so on on the properties of inclusion body - zntio3 / ti ( oh ) 4, granule size and properties of rutile nanometer tio2 powder are discussed

    在銳鈦型納米tio _ 2粉體的制備基礎之上，進一步研究了金紅石型納米tio _ 2粉體的制備工藝，探討了包覆劑用量、預焙解溫度、晶型促進劑量及焙燒溫度和保溫時間等因素對znco _ 3 / ti （ oh ） _ 4沉澱包覆體性能、金紅石型納米tio _ 2粉體產品的粒度和性能的影響。
  4. To replace the aged data preparation systems which have been used for over 13 years

    取代已使用超過13年的舊數據輸入系統
  5. 3 ) presentation and implementation of key - based relational schema reverse reconstruction algorithm ( krr ). based on discrete mathematics theory, a krr algorithm is proposed which can realize the transformation from relational schema to directed graph structure and get a good data preparation for the sequential schema mapping

    3 ）提出基於key的關系模式重構演算法以離散數學理論為基礎，對關系模式數學建模，通過提出基於key的關系模式重構演算法，將關系模式轉化為有向圖數據結構，為模式映射提供基礎。
  6. 5. data preparation is essential procedure before data mining, and the thesis presents two algorithms for the filling of missing values and the finding of duplicates, two of data problems in data preparation. at first, the thesis uses of rough analysis to predict the missing values with known values to solve the problem of missing values, and the results are with higher accuracy ; then the thesis uses partition data table and quick sort method to find duplicates, which can decrease the searching time for finding

    數據預處理是數據挖掘之前的必要準備步驟，針對數據預處理問題中的缺失數據與重復數據的挖掘問題提出兩種演算法，首先針對缺失數據問題，浙江大學博士學位論文利用rough集理論通過對己知數據進行預測實現對缺失數據的填補，達到了一定的預測精度;然後針對重復數據問題，利用數據表分解技術以及快速排序方法實現重復數據的發現，並降低了重復數據的發現時間。
  7. Take advantage of raster - to - vector conversion, raster editing, and raster data preparation capabilities

    展示集成了地圖、衛星數據和其他形式的圖像的提案用於交流。
  8. Firstly, this paper improves single dimensional association rule mining algorithm aprioritidlist based on deep research on association rule mining algorithms, and advances an efficient multidimensional association rule mining algorithm aprioritidlist + that is suitable for vulnerability database of rdbms. furthermore, the algorithm is applied on vulnerability database including data preparation, implement of the algorithm and analysis of experiment results, where data preparation is mainly to select some from numerous vulnerabilities and vulnerability attributes that are suitable for association rule mining to do experiments, meanwhile do the discrete process on quantified attribute values

    本文首先在深入研究關聯規則挖掘演算法的基礎上，對其中的單維關聯規則挖掘演算法aprioritidlist進行改進，提出了一種適合關系型弱點數據庫的高效的多維關聯規則挖掘演算法aprioritidlist + ;並且將該演算法應用到弱點數據庫中，包括數據準備、演算法實現和實驗結果的分析，其中數據準備主要是對數量龐大的弱點信息和弱點屬性進行挑選，取出一部分適合於關聯規則挖掘的弱點信息來進行實驗，同時也對量化屬性值進行了離散化處理。
  9. In the session of the analysis and coordination of those static data of fittings, on the basis of the reformed data of fittings, the paper establishes both a scientific classifying principle and also a rational coding system, which resolved the problem of the fittings - data - standardization. in order to control the actuality and the rate of overlapped codes, the paper has designed data - preparation programs and data - switch programs and data - checking ones through database programming technologies

    在對配件靜態數據的分析整理及實施技術的研究中，基於重構后的配件數據，建立了科學合理的分類原則和編碼體系，解決了配件數據的規范化和標準化問題，採用數據庫編程技術，設計了數據準備、轉換和檢查程序，實現了對數據準確性和重碼率的控制。
  10. Data preparation tool

    數據準備工具
  11. New data preparation tasks include the following

    新的數據準備任務包括：
  12. Data preparation equipment ; data terminal equipment

    資料準備設備；
  13. Data preparation for web log mining

    日誌挖掘中重構網站結構技術
  14. Data preparation tasks

    數據準備任務
  15. After having known the above two, we introduce the data preparation

    對兩者有了一定認識后，論述了電子商務網站挖掘的準備工作。
  16. Several other new tasks provide data preparation functionality, such as uploading, downloading, and copying files

    幾個其他的新任務提供數據準備功能，例如上載、下載和復制文件。
  17. This paper presents several data preparation techniques in order to identify unique users and user sessions

    本篇論文提出了幾種數據預處理的方法，目的是分割服務器日誌為多個獨一無二的用戶和獨一無二的用戶會話的過程。
  18. The system architecture separates the offline process of data preparation and web mining, and the online process of customizing web pages based on a user ' s active session. the recommendation engine model has been successfully applied to dfw e - commerce system, and it has a good impact on providing personalization recommendation pages

    最後，該推薦引擎技術成功地運用到美國oxinternational公司的dfw電子商務系統中，實現了dfw電子商務個性化服務推薦引擎系統，它能夠高效穩定地向客戶推薦個性化的商品web頁面。
  19. In the research of numerical modeling on coastal engineering, there have been a lot of research works in numerical computation and post - processing presentation on numerical modeling. however, in data preparation for numerical modeling, the works to be done remain manual. thus, it ' s important and helpful to work out a solution in data preparation for numerical modeling based on comgis

    目前在海岸動力數值模擬研究領域，數值模擬計算和數值模擬后處理方面都有大量的研究成果，而數值模擬前處理方面卻還停留在依靠人工方法讀取紙質地圖數據的階段，因而基於組件式地理信息系統技術來研究和實現一個前處理應用系統，滿足海岸工程專業的實際需要是非常必要的。
  20. Use the hierachical fuzzy clustering algorithm to cluster the similar customers and solve the problems of validity of clustering results and how to get the best clusters. get the customer group requirement tendency model that belongs to the vision of customers. provide the necessary data preparation for the transformation of customer requirements to engineering parameters and indexes

    研究了大規模定製的市場細分過程：應用matlab語言實現的層次模糊聚類分析演算法將相似需求的客戶聚成一類，極大的簡化了演算法的實現復雜度，解決了聚類結果的有效性評估和最佳分類的確定問題，獲得屬于客戶視角的客戶群體需求傾向模型，達到細分市場的目的，並為進一步將客戶需求轉化為工程意義的技術參數或指標提供了必要的數據準備。
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